INSERT INTO `reviewer_twos` VALUES (754,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','dr','Shahadu Shembla','Sayibu','male','ghana','drshembla@yahoo.co.uk','<p>Ghana Field Epidemiology and Laboratory Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','B.B. Kaburi | Ghana Field Epidemiology and Laboratory Program | kbbenduri@gmail.com\r\nR. Wodah-Seme | Upper West Regional Health Directorate, Ghana Health Service Wa |  rasbebe2001@yahoo.com\r\nB. Abdul-Rahman  | Bole District Health Directorate, Ghana Health Service, Bole | braimahabdurahmans1991@gmail.com\r\nE. Antoh | Department of Epidemiology and Disease Control, University of Ghana School of Public Health | \r\nC. Noora | Ghana Field Epidemiology and Laboratory Program | cnoora@afenet.net\r\nC. Kubio | Savannah Regional Health Directorate, Ghana Health Service, Damongo | chryskubio@yahoo.com\r\nE. Kenu | Ghana Field Epidemiology and Laboratory Program |','<p>Performance of meningitis surveillance system in the years of case surge in Bole District, 2017-2021</p>','<p>The Bole District runs the integrated surveillance system for disease reporting and recorded 42 meningitis cases in 2017. We determined if the meningitis surveillance system was: useful; meeting its objectives for early detection, response, and prevention; and performance with regards its attributes from 2017 to 2021.</p>','<p>Using the updated CDC guidelines on Surveillance System Evaluation (2009) we extracted data from the District Health Management Information Systems II, line lists and facility records. We conducted key informant interviews using guides. Timeliness, positive predictive value and data quality were estimated from extracted data. Data obtained to assess sensitivity, usefulness, acceptability, stability and flexibility were through interviews and reviews, and were quantified using either likert scales at collection or percentages after collection. We generated frequencies, tables and charts used for descriptive summary statistics.</p>','<p>We interviewed 26 health workers of different cadres. There were 143 reported cases of meningitis with cumulative incidences from 11/100,000population in 2017 to 1/100,000 in 2021. Average case fatality rate was 29.5%. Average timeliness was above 90%. Positive predictive value averaged 24.9%. Data quality was below 50%, with discrepancies between District and Region. The system promptly detected all cases, treated and controlled meningitis, and grossly met 80% (4/5) of its objectives. It used data to transform service delivery, picked all suspected cases, integrated with other systems, and most stakeholders accepted and would maintain it. It picked cases of all demographics, location and times of the year. All participants thought case definition was simple, 88.5% (23/26) having good to excellent knowledge of it.</p>','<p>The system was useful, sensitive, flexible, stable, simple, acceptable, representative, timely and met most of its objectives. However, positive predictive value was low and data quality poor. We facilitated data quality improvements using data validation approaches for the district.</p>','<p>meningitis, meningococcal, pneumococcal, surveillance, system, evaluation</p>','4','4','4','3','4','4',NULL,'Accept','Oral','Yes','<p>What was your study design?</p>','2025-02-19 10:13:00','2023-06-01 19:21:53',NULL,31),(755,'Delia Bandoh','scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','Isaac','Baffoe-Nyarko','male','ghana','banyark@yahoo.co.uk','<p>Ghana Field Epidemiology and Laboratory Training Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Shahadu Shembla Sayibu | Ghana Field Epidemiology and Laboratory Training Program | drshembla@yahoo.co.uk, \r\nSeth Baffoe | Ghana Field Epidemiology and Laboratory Training Program | slavebaffoe@gmail.com, \r\nThelma Teley Aphour | Ghana Field Epidemiology and Laboratory Training Program | thelmaaphour@gmail.com, \r\nCharles Lwanga Noora | Ghana Field Epidemiology and Laboratory Training Program | nooralwanga@gmail.com, \r\nDonne Ameme | Ghana Field Epidemiology and Laboratory Training Program | amemedonne@yahoo.com, \r\nGodfred Sarpong | Ghana Health Service, Regional Health Directorate, Central| kobbymed@yahoo.com,\r\nBenjamin Amoako | Ghana Health Service, District Health Directorate, Assin Foso| bkamoako001@st.ug.edu.gh, \r\nPaulete Brown | Ghana Health Service, District Health Directorate, Assin North | lettiegh@yahoo.com, \r\nWilliams Amosah | willis850@yahoo.com | Ghana Health Service, District Health Directorate, Assin Foso\r\nNii Ankrah Sarpong | yawcidy25@gmail.com | Ghana Health Service, District Health Directorate, Assin North\r\nErnest Kenu | Ghana Field Epidemiology and Laboratory Training Program | ernest_kenu@yahoo.com','<p>Suspected Lassa Fever Outbreak Investigation at Assin Foso District, Central Region</p>','<p>Lassa Fever, a haemorrhagic zoonotic illness, caused by the Lassa virus is spread by rats and mice. The disease is endemic in some West African countries. Ghana reported the first case in 2011. In February 2023, Assin Foso District of Central Region reported an outbreak of Lassa Fever. We investigated the outbreak to determine its magnitude, source and recommend intervention measures.</p>','<p>The investigation was conducted from 1st to 7th March 2023. We engaged stakeholders, reviewed records, and searched for cases using the Lassa Fever standardised case definition. We conducted contact tracing and environmental assessment for risk factors including collecting oral, anal and blood samples from mice for RT-PCR testing. Lassa fever awareness among the community and health workers was assessed. Data were analysed as frequencies and proportions and presented in tables, charts, and maps.</p>','<p>The index case, a 25-year-old female, a resident of Paalemu Community, Assin Foso, had symptoms onset on 21/03/2023. She sought for health from a religious centre and a traditionalist. Patient was referred to the health facility when symptoms did not resolve (CFR=100%). We identified 96 contacts for follow-up. Mean and standard deviation of age of contacts were 30.0yrs and +14 respectively. Up to 54.2% (52/96) of the contacts were health workers. About 36.5%(35/96) of the contacts had direct physical contact with the case. Awareness was 98.5%(67/68) and 77.9%(398/511) among health workers and community members respectively. We reviewed 21,888 records from six health facilities. The residence, a farming community, had inadequate sanitation. Samples from rodents tested negative for Lassa fever.</p>','<p>The outbreak did not spread to other communities. Increased travel and presence of rodents are possible risk factors identified. The source of the outbreak could not be ascertained. There is high awareness on Lassa fever among health workers and communities. Deratting of markets and other rodent infested communities are recommended</p>','<p>Lassa fever, Outbreak, Investigation, zoonotic,</p>','2','2','2','2','4','2',NULL,'Reject','Rejected','Yes','<p>Methods/Results:</p><p>Which standard case definition is being refered to?</p><p>Results: How many cases were identified?</p><p>Was Lassa fever ever confirmed?</p>','2025-02-20 10:13:00','2023-06-04 19:12:47',NULL,50),(756,'Delia Bandoh','scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mrs','Doris','Edu-Quansah','female','ghana','dorisduke23@gmail.com','<p>1Ghana Field Epidemiology and Laboratory Training Programme (GFELTP), School of Public Health, University of Ghana, Accra, Ghana</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Anthony Baffour Appiah | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP)| anthonybaffourappiah@yahoo.com\r\nGeorge Akowuah | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP)| \r\nPaul Dsane-Aidoo | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP)| dsaneaidoo@gmail.com\r\nG. Burgess Gbeele | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP)| gburgessg55@gmail.com\r\nSarja Jarjusey | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP)|  jarjuseysarja@gmail.com\r\nCharles Lwanga Noora  | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP)| nooralwanga@gmail.com\r\nDonne Ameme |  Ghana Field Epidemiology and Laboratory Training Programme (GFELTP)| amemedonne@yahoo.com\r\nErnest Kenu | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP)| Ernest_kenu@ yahoo.com','<p>Outbreak of Influenza (H3N2) in two senior high schools in the Eastern Region, Ghana, 2022</p>','<p>H3N2, a highly contagious influenza virus, spreads quickly in enclosed communities. On 11th May 2022, students from two Senior High Schools in Eastern Region reported to their schools’ infirmary with symptoms of chest pain, fever, sore throat, headache, and cough. We investigated the outbreak to determine the cause, identified associated factors and implemented preventive measures.</p>','<p>We employed a cross-sectional study design. Teachers, health workers and students from the two schools were interviewed, and cases records reviewed. A case was defined as any person with fever (&gt;38), and either cough or sore throat from 1st May-10th June 2022 from the schools. We actively searched for cases and collected nasopharyngeal samples of some suspected cases for testing. A line-list was developed with sociodemographic, laboratory and risk factor variables. We conducted descriptive analysis and estimated attack rates.</p>','<p>Out of 4,061 students from the two schools, 167 suspected cases were identified (Overall AR=41.%). Only 56% (94/167) were sampled, of which 32%(30/94) were H3N2 positive. School-specific attack rates were 5% (75/1536) for school A, and 4% (92/2525) in school B. Mean age of confirmed cases in both schools was 16+2 years. Form 1 students constituted the highest positivity in both schools 90% (27/30). The index case was from school B, who was a 17-year-old male without travel history. Dormitories were congested and with poor ventilation. Suspected cases in both schools were quarantined for seven days and treated according to standard guidelines. A piggery was found in school A. There was only one functional hand washing facility in school A.</p>','<p>The cause of the outbreak was H3N2. Overcrowding and poor ventilation in dormitories were associated factors. Effective quarantine of all suspected cases and prompt case management helped control the outbreak in both schools. We recommended decongestion of dormitories and the provision of hand washing facilities.</p>','<p>Influenza, H3N2, Outbreak, School, Investigation</p>','3','4','3','3','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-02-21 10:13:00','2023-05-29 09:41:27',NULL,59),(757,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','dr','Zakariyau','Umar','male','nigeria','umarzakariyau54@yahoo.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'15/07/2020','advanced','non-communicable-diseases-ncds-injuries-and-mental-health','Junaidu | Kabir | Ahmadu Bello University, Zaria | junabir@gmail.com\r\nLawal  Amadu | Ahmadu Bello University, Zaria | lawalkuki@gmail.com\r\nB.V. | Maikai | Ahmadu Bello University, Zaria | beatt18@yahoo.com','<p>Determination of Dioxin Level in Cattle Hide Processed Using Different Fuel Sources for Human Consumption in Sokoto Central Abattoir, Sokoto, Nigeria</p>','<p>Using trashed of tires to singe hide has been a practice in Nigeria for several years. It exposes meat or hides to hazardous chemical substances such as heavy metals, polyaromatic hydrocarbon, dioxins and furans. We, therefore, analyzed cattle hides singed using trashed tires at the Sokoto Abattoir to determine their baseline concentration of dioxin and the contribution of processing methods to dioxin content in hide.</p>','<p>In a quasi-experimental study, we sampled 160 cattle hides using systematic random sampling. Eighty hides were subjected to processing using hot water (control) while the remaining 80 were divided into three groups and processed using either tires, plastics or firewood as a fuel source (test). Dioxin level in hide samples was determined using enzyme-linked immunosorbent assay (ELISA).</p>','<p>The mean concentration of dioxin in cattle hide processed using hot water (control group) was 0.68ppt, and the concentrations for the other groups were 25.6ppt, 2.69 ppt, and 8.33 ppt for cattle hide processed using tires, plastics, and firewood as a fuel source respectively. The mean difference in concentration was statistically significant for hide processed using tires at p0.05 (0.278 &amp; 0.301).</p>','<p>Cattle hide singed using tires has high dioxin content, compared to hide processed using other methods and is potentially toxic to humans, animals and the environment. Governments, public health practitioners, and relevant stakeholders should work in synergy to discourage the practice of processing cowhide using trashed tires and polythene bags.</p>','<p>dioxin, singed cattle hides, carcinogenicity, ELISA</p>','3','3','3','3','3','3',NULL,'Accept','Oral','Yes','<p>Good abstract</p>','2025-02-22 10:13:00','2023-05-01 15:47:17',NULL,171),(758,'Emelda Ramutshila','Scientific Writing Coordinator - South Africa FETP','Emeldar@nicd.ac.za','mr','Lavhelesani','Negondeni','male','south-africa','LavhelesaniN@nicd.ac.za','<p>South African Field Epidemiology Training Program, National Institute for Communicable Disease a division of the National Health Laboratory Service, Sandringham, Johannesburg,</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Lucia Sakoane | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | LSakoane@nwpg.gov.za\r\nKebafilwe Mokubetsi | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | KMokubetsi@nwpg.gov.za\r\nMotlalepula Dlamini | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | Msibanda@nwpg.gov.za\r\nErica Du Plessis | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | Eduplessis@nwpg.gov.za\r\nMampe Ramaroka | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | mnkomo615@gmail.com\r\nUzo Nwachukwu | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | Uzmedics@yahoo.com\r\nMpho Keothaile | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | kkeothaile@nwpg.gov.za\r\nMaggie Tuludi | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | Mtuludi@nwpg.gov.za \r\nJoan Lesetedi | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | klesetedi@nwpg.gov.za\r\nBoitumelo Lempe | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | blempe@nwpg.gov.za\r\nJunade Steenkamp | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | sjunade@ymail.com\r\nGrace Tsele | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | gtsele@nwpg.gov.za\r\nMagogodi Seema | North-West Province Department of Health, Strategic Health Chief Directorate, Mahikeng, South Africa | mseema@nwpg.gov.za\r\nHetani Mdose | South African Field Epidemiology Training Program, National Institute for Communicable Disease a division of the National Health Laboratory Service, Sandringham, Johannesburg | HetaniM@nicd.ac.za\r\nLazarus Kuonza | South African Field Epidemiology Training Program, National Institute for Communicable Disease a division of the National Health Laboratory Service, Sandringham, Johannesburg | lazarusk@nicd.ac.za\r\nWellington Maruma | Division of Public Health Surveillance and Response, National Institute of Communicable Diseases a division of the National Health Laboratory Service, Johannesburg, South Africa | wellingtonm@nicd.ac.za','<p>Measles outbreak investigation during a vaccination campaign: Experiences from the North-West Province, South Africa, December 2022 - March 2023</p>','<p>Measles is a highly contagious, vaccine-preventable disease caused by the measles virus and can even cause death. On December 2, 2022, the measles outbreak was declared in the North-West Province. Investigations were initiated to describe the extent of the outbreak and implement appropriate public health actions to reduce transmission and develop recommendations to prevent a future measles outbreak.</p>','<p>A cross-sectional study design was used where epidemiological investigations and active surveillance were conducted. Descriptive statistics were used to describe the epidemiology of laboratory-confirmed cases and vaccination status for cases detected between 2 December 2022 - 17 March 2023. We also describe vaccination coverage trends against set targets by age category for the measles vaccination campaign that began on December 12, 2023. The epidemic curve was used to illustrate the outbreak\'s progression and to monitor the impact of the vaccination campaign and other control measures.</p>','<p>Children aged between 0-4 and 5-9 years accounted for 28.4% (59/208) and 43.3 % (90/208) respectively. The majority (85.1%; 177/208) of the cases were from Ngaka Modiri Molema District, with Mahikeng Sub-district accounting for most of the cases (93.8%; 166/177). Of the total cases, only 8.7% (18/208) were fully vaccinated against measles. The outbreak peaked in December 2022 and surveillance activities are continuing. As of March 17, 2023, 816, 354 measles doses were administered, with the majority (67.4%; 550, 273/816, 354) administered to children aged 5 -15 years.</p>','<p>Immunization provides the best protection against vaccine-preventable diseases; hence it is essential to ensure that the 95% measles vaccination coverage target is reached and monitored to reduce the risk of future outbreaks. It is also crucial that educational institutions routinely review Road to Health Booklets (RTHBs) to identify missed vaccination opportunities.</p>','<p>Measles outbreak, North-West Province, South Africa, measles vaccination</p>','4','3','3','2','4','3',NULL,'Reject','Rejected','Yes',NULL,'2025-02-23 10:13:00','2023-05-11 08:15:12',NULL,98),(759,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','dr','Muftau','Oyewo','male','nigeria','muftaudr@gmail.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Ahmad | Almustapha |  Faculty of Pharmaceutical Sciences, Universite de Tours, Val de Loire, France | Ai.almustapha42@gmail.com \r\nSalman | Olugbon | Department of Veterinary Services, Kwara State Ministry of Agriculture and Rural Development, Ilorin, Nigeria | drolugbon2007@yahoo.com \r\nOluwatosin | Fakayode | Department of Public Health, Kwara State Ministry of Health, Ilorin, Kwara State, Nigeria | Tosintolufakayode@gmail.com \r\nOladayo | Awoyale | Department of Public Health, Kwara State Ministry of Health, Ilorin, Kwara State, Nigeria | Oladayoawoyale@gmail.com \r\nItunuoluwa | Bakinde | Department of Public Health, Kwara State Ministry of Health, Ilorin, Kwara State, Nigeria | Itunugold85@gmail.com \r\nAbimbola | Adefila | Department of Public Health, Kwara State Ministry of Health, Ilorin, Kwara State, Nigeria | Adefilaifeoluwa01@gmail.com \r\nBashirat | Olanipekun | Department of Medical Microbiology and Parasitology, University of Ilorin Teaching Hospital, Kwara State, Nigeria | Olanipekunhayorbollah@yahoo.com        \r\nIbrahim | Almustapha | Department of Agricultural Economics, Faculty of Agriculture, University of Ilorin, Kwara State, Nigeria | almustaphaibrahim03@gmail.com\r\nEmmanuel | Awosanya | Department of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ibadan, Oyo State, Nigeria | Emmanuelsunday27@yahoo.com','<p>A web-based survey of public knowledge, attitudes, and perceptions towards COVID-19 preventive measures in Kwara State, Nigeria</p>','<p>The coronavirus disease (COVID-19) pandemic has caused a serious public health crisis. Public knowledge and adherence to the COVID-19 prevention and control measures could influence the COVID-19 disease burden. We, therefore, assessed the knowledge, attitude, and perception of residents of Kwara State toward COVID-19 preventive measures.</p>','<p>We conducted a web-based cross-sectional survey of 800 residents of Kwara State between September and October 2022 using a self-administered semi-structured questionnaire to determine their knowledge, attitude, and perceptions towards COVID-19 preventive measures. Snowball sampling technique was used to get respondents for the study. We analyzed data using descriptive statistics, graded respondents on a numeric scoring system, and conducted multivariable logistic regression analysis to test for association between sociodemographic variables and good knowledge of COVID-19.</p>','<p>The mean knowledge score was 8.2±1.5 while the mean attitude and perception score was 5.92±1.41. Most of the 800 respondents (88%) had satisfactory knowledge, attitude, and perception (86.5%), were willing to be screened for COVID-19 (84%), and isolated if tested positive (84.8%). Participants perceived COVID-19 as dangerous (95%), but 59.2% of them believed that the daily COVID-19 cases were fabricated.. Older respondents (30-49 years) were more likely to have better knowledge (AOR: 1.51; 95%CI: 1.06, 3.42) of preventive measures than others. Respondents with a postgraduate degree were more likely to be knowledgeable (AOR: 1.54; 95%CI: 1.04-3.70) and have satisfactory attitude and perception (AOR: 2.82; 95%CI: 1.29-6.14) about COVID-19 preventive measures than others.</p>','<p>The public knowledge of COVID-19 preventive measures was significantly influenced by age, marital status, and level of education. Our findings also suggest that respondents were knowledgeable and had satisfactory attitudes toward the COVID-19 preventive measures. However, there is a need to improve the perception of the citizenry which is necessary to curb the spread of COVID-19 in Nigeria. Social media engagements and interpersonal dialogue have been used to improve the perception of the residents.</p>','<p>COVID-19, preventive practices, Kwara, Nigeria.</p>','3','3','5','4','4','4',NULL,'Accept','Oral','Yes',NULL,'2025-02-24 10:13:00','2023-05-16 12:31:42',NULL,177),(760,'Khuliso Ravhuhali','Intermediate Coordinator','khulisor@nicd.ac.za','ms','Nompumelelo','Mkhatshwa','female','south-africa','AnnahMk@mpuhealth.gov.za','<p>Mbombela Sub-District, Mpumalanga Department of Health</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Keabetswe Kodi, South African Field Epidemiology Training Programme, KeabetsweK@nicd.ac.za\r\nMasingita Makamu, South African Field Epidemiology Training Programme, MasingitaM@nicd.ac.za\r\nKhuliso Ravhuhali, South African Field Epidemiology Training Programme, Khulisor@nicd.ac.za','<p>Pertussis Outbreak Investigation in Mbombela Sub-District, Mpumalanga Province – February 2023</p>','<p>Pertussis, or whooping cough, is a highly contagious, vaccine-preventable respiratory disease caused by Bordetella pertussis or Bordetella parapertussis. Globally there were an estimated 24.1 million cases and 160,700 deaths in children under five years with most in Africa. On 23 January 2023, sub-district officials investigated a pertussis outbreak in the Mbombela subdistrict to determine the magnitude, and cause of the outbreak and implement control measures.</p>','<p>A descriptive study was conducted between 24 January and 28 February 2023. A case was defined as any person with a cough lasting at least 2 weeks, presenting with either paroxysm or inspiratory whooping. We conducted a door-to-door active case search, reviewed medical records, assessed vaccination status, and completed case investigation forms. Samples were collected and serological laboratory testing was done. Descriptive analysis was done using MS Excel.</p>','<p>A total of 7 cases were identified during the outbreak period. Of these figures, 5 were females. The age of the cases ranged from 1 month to 11 years with a mean age of 2.8 years. Of the total cases, five cases were aged 0–3 years. The overall attack rate of the disease was 1.5 per 100 000 persons. Four cases were partially vaccinated. Three of the partially vaccinated cases were hospitalized with no fatalities. Case treatment and prophylaxis (family members and high-risk contacts) with antibiotics were given. Mass health education at school and during door-to-door active case searches was conducted.</p>','<p>This was a laboratory-confirmed pertussis outbreak, which may have occurred primarily due to low DTaP-IPV-Hib-HepB (diphtheria-tetanus-acellular pertussis-injectable polio-Haemophilus influenza b-Hepatitis B vaccine) vaccination coverage. The outbreak primarily affected children aged under 3 years. We recommend vaccination activities in the sub-district and awareness in the community to limit disease transmission.</p>','<p>Pertussis, Outbreak, Mbombela</p>','3','3','2','3','4','3',NULL,'Reject','Rejected','Yes',NULL,'2025-02-25 10:13:00','2023-05-11 07:30:36',NULL,98),(761,'Emelda Ramutshila','Scientific Writing Coordinator - South Africa FETP','Emeldar@nicd.ac.za','ms','Rixongile','Malomane','female','south-africa','RixongileM@nicd.ac.za','<p>South African Field Epidemiology Training Program, National Institute for Communicable Disease a division of the National Health Laboratory Service, Sandringham, Johannesburg</p>','resident',NULL,NULL,'advanced','vaccine-preventable-diseases','Tsakani Mnisi | Limpopo Department of Health, Special Health Programs, Mopani District, Giyani, South Africa | tjtsakani@gmail.com\r\nJack Manamela | Centre for Vaccines and Immunology, National Institute for Communicable Diseases, Johannesburg, a division of National Health Laboratory Services South Africa | jackm@nicd.ac.za \r\nT.E. Ramutshila | South African Field Epidemiology Training Programme, National Institute for Communicable Diseases a division of National Health Laboratory Services, Johannesburg, South Africa | emeldar@nicd.ac.za\r\nGenevie Ntshoe | Division of Public Health Surveillance and Response, National Institute for Communicable Diseases a division of National Health Laboratory Services, Johannesburg, South Africa, Johannesburg, South Africa  | genevien@nicd.ac.za\r\nThembeka Semenya | Limpopo Department of Health, Public Health Directorate, Polokwane, South Africa | tembekas@yahoo.com\r\nFreda Ngobeni | Limpopo Department of Health, Public Health Directorate, Polokwane, South Africa | fredangobeni@yahoo.com\r\nTumiso Malatji | Limpopo Department of Health, Public Health Directorate, Polokwane, South Africa | tumimalatji79@gmail.com\r\nU.B. Makugo | Division of Public Health Surveillance and Response, National Institute for Communicable Diseases a division of National Health Laboratory Services, Johannesburg, South Africa, Johannesburg, South Africa | UnarineM@nicd.ac.za','<p>Epidemiology of Confirmed Measles Cases and preliminary review of surveillance and response activities, October – December 2022.</p>','<p>Measles is a vaccine-preventable disease, and to minimise the risk of transmission the recommended vaccine coverage target is 95%. The national measles coverage in the past five years was 80%, while Mopani District had an average measles vaccine coverage of 89%. We aimed to describe the epidemiology of measles cases and to review the surveillance and response activities during the measles outbreak period.</p>','<p>We conducted a descriptive cross-sectional study. Measles suspected case was defined as a person with rash, fever, and or any of the following symptoms: cough, conjunctivitis, and a runny nose; or any person who the clinical suspicion of measles infection in Mopani District from13 October to 31 December 2022. The case investigation form was used to collect demographic and clinical data on cases in healthcare facilities. Blood samples were collected, and a measles IgM test was performed. Measles surveillance data and public health interventions implemented during the outbreak period were reviewed. Microsoft Excel was used for data management and analysis, and descriptive statistics were used to summarise data.</p>','<p>Two hundred and eight suspected measles cases were identified, and 22% (45) were measles IgM positive. Twenty-five (65%) of the measles cases were males. The overall attack rate (AR) was 4/100 000 population, 48% of measles infections were 5-9 years old with an AR of 13/100 000 population. Thirty-four (76%) measles cases had unknown measles vaccination status, seven (16%) were unvaccinated, and four (8%) received two measles doses. A measles vaccination campaign was implemented targeting children 6-59 months old in Mopani District, and the vaccination campaign coverage was 69%.</p>','<p>The low measles vaccine coverage might be the cause of sporadic outbreaks observed. To interrupt measles transmission, strategies to improve measles vaccination should be strengthened. Further studies are required to investigate factors associated with low vaccine coverage in the district.</p>','<p>Measles, outbreaks, vaccine coverage, surveillance</p>','4','4','4','3','4','4',NULL,'Accept','Poster','Yes','<p>Concerned with the discordance between the objective and conclusion which was rather speculative and not necessarily derived from the findings.</p>','2025-02-26 10:13:00','2023-05-16 16:11:18',NULL,151),(762,'Khuliso Ravhuhali','Intermediate Coordinator','khulisor@nicd.ac.za','ms','Ntombizodwa','Madalane','female','south-africa','NtombizodwaMad@mpuhealth.gov.za','<p>Ehlanzeni District, Mpumalanga Department of Health</p>','resident',NULL,NULL,'intermediate','vector-borne-and-neglected-tropical-diseases-ntds','Nqobile Ngoma, South African Field Epidemiology Training Programme, Nqobilen@nicd.ac.za\r\nKhuliso Ravhuhali, South African Field Epidemiology Training Programme, Khulisor@nicd.ac.za','<p>Evaluation of Schistosomiasis (Bilharzia) Surveillance System at Ehlanzeni district, Mpumalanga province, 2020-2022</p>','<p>Schistosomiasis, a neglected parasitic infection caused by trematode worms affects approximately 240 million people globally. In South Africa, more than 4 million people are estimated to be infected with schistosomiasis. South Africa has included schistosomiasis on its revitalised national Notifiable Medical Conditions (NMC) surveillance platform since July 2017. Schistosomiasis is a category 2 NMC- which means all healthcare workers (HCWs) are required to notify cases through paper-based or electronic case notification forms (CNF) within 7 days of diagnosis. The objective of the study was to describe and evaluate the schistosomiasis surveillance system in the Ehlanzeni district.</p>','<p>We conducted a cross-sectional descriptive study and administered a structured questionnaire to involved public healthcare workers (HCWs) in 3 health facilities. We reviewed 20 notification forms for data quality assessment. Using the updated CDC guidelines for evaluating surveillance systems we assessed usefulness, knowledge, data quality, acceptability, and simplicity. Microsoft Excel was used to calculate frequencies, means, and proportions.</p>','<p>A total of 22 public HCWs participated in the survey,18 (82%) were females and 4 (18%) were males. All participants had knowledge of the Schistosomiasis case definition and the notification processes. None of the respondents used Schistosomiasis data at their level. Approximately 82% found the system simple and were willing to continue participating in the system. HWCs trained in Schistosomiasis surveillance were 32%. Twenty notification forms were reviewed and of these, 13 forms were notified in the NMCSS. Out of the 20 notification forms only 8 (40%) were fully completed and 12 (60%) were partially completed.</p>','<p>The strongest component of the schistosomiasis surveillance system in the Ehlanzeni district was simplicity and acceptability. Usefulness and data quality were the weaker attributes of the system. We recommend training healthcare workers on the use of Schistosomiasis surveillance data in the district.</p>','<p>Schistosomiasis, Evaluation, Ehlanzeni District</p>','4','4','4','4','4','4',NULL,'Accept','Oral','Yes','<p>A well written abstract, albeit a few typos.</p>','2025-02-27 10:13:00','2023-05-16 16:15:50',NULL,151),(763,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','mr','Benson','Omaiye','male','nigeria','happibensono@gmail.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','resident',NULL,NULL,'advanced','public-health-laboratory-systems-and-infection-prevention-control','Aishat | Usman | African Field Epidemiology Network | ausman@afenet.net\r\nIstifanus | Nkene | Nasarawa State University\r\nHenry | Egbu | Federal Medical Centre, Keffi\r\nCelestine | Ameh | African Field Epidemiology Network | cameh@afenet.net\r\nMuhammad | Balogun | African Field Epidemiology Network | msbalogun@afenet.net\r\nPatrick | Nguku | African Field Epidemiology Network | pnguku@afenet.net','<p>Molecular Characterization and Resistance Pattern of Carbapenemase-Producing Klebsiella pneumoniae from Clinical Specimens at Federal Medical Centre, Keffi-Nasarawa State, Nigeria 2023</p>','<p>The emergence of transmissible plasmid-mediated carbapenem resistance genes among Enterobacteriaceae as carbapenem-resistant K. pneumoniae (CKP) is now a global public health issue. Control and appropriate interventions for antimicrobial resistance depend on effective surveillance and knowledge of the patterns of resistance. We determined the resistance profile and molecular types of the genes responsible for carbapenem resistance in Klebsiella pneumoniae from clinical samples of patients at the Federal Medical Centre, Keffi, Nasarawa State.</p>','<p>We conducted a hospital-based cross-sectional study between September 2022 and February 2023. We collected 239 clinical samples from which we isolated and identified K. pneumoniae using standard microbiological methods. We conducted the antimicrobial susceptibility testing for phenotypic detection of carbapenemase production in the isolates using a disc diffusion method. We detected the carbapenemase resistance genes blaKPC and blaOXA in using the polymerase chain reaction.</p>','<p>K. pneumoniae was isolated from 45 samples (18.8%). The highest rate of isolation was in urine [37 (24.8%)] and lowest in sputum [8 (13.3%)]. Resistance to antimicrobial agents: amoxicillin/clavulanic acid, cefuroxime, and nalidixic acid (100%); sulfamethoxazole/trimethoprim (91.1%) and ciprofloxacin (88.9%), ofloxacin (47.2%) and imipenem (19.4%). Multi-drug resistance rate was high (85.7%) while pan-drug resistance was 17%. Five of the 8 (62.5%) imipenem-resistant K. pneumoniae isolates were found to be carbapenemases-producing. Carbapenemase resistance genes detected included blaOXA gene [5 (100%)], blaOXA and blaKPC [4 (80%)].</p>','<p>blaKPC and blaOXA were prevalent among species of K. pneumoniae in Nasarawa State. Most of the imipenem-resistant isolates were carbapenemase producers and the predominate carbapenemase resistance gene detected was blaOXA. Information generated from this study will be used to intensify AMR surveillance, patient management and risk communication for carbapenem resistance. We recommend the establishment of guidelines for the screening of KPCs. Strict compliance to antibiotic stewardship and enforcement of infection control practices should also be strengthened in all our health centers.</p>','<p>Klebsiella pneumoniae, carbapenemase, Imipenem, gene, blaKPC</p>','3','4','4','4','4','4',NULL,'Accept','Poster','Yes',NULL,'2025-02-28 10:13:00','2023-05-16 12:33:16',NULL,177),(764,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','dr','Adamu','Ali','male','nigeria','dadali2014@yahoo.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'15/05/2022','advanced','vaccine-preventable-diseases','Muhammed | Ibrahim | Ahmadu Bello University, Zaria, Nigeria | firstmsibrahim@yahoo.com\r\nMuhammad | Balogun | African Field Epidemiology Network, Nigeria | msbalogun@afenet.net\r\nElizabeth | Adedire | African Field Epidemiology Network, Nigeria | aededire@afenet.net\r\nHauwa | Lawan | University of Maiduguri Teaching Hospital, Nigeria | drhaml@yahoo.com','<p>Prevalence and risk factors of Hepatitis B Virus Infection among women attending Antenatal Clinic in tertiary health facilities; Adamawa State, Nigeria August 2022-Febuary 2023</p>','<p>Hepatitis B virus (HBV) infection is a vaccine-preventable disease transmitted through infected blood, semen, and other body fluids. About 100 million persons in the WHO African region have chronic HBV infection, and all countries in the region have an intermediate or high prevalence of chronic HBV infection. According to the Federal Ministry of Health, Nigeria is one of the HBV-endemic countries with a national prevalence of 11%. We determined the prevalence and predictors of hepatitis B infection among women attending antenatal clinics in tertiary health facilities in Adamawa State.</p>','<p>We conducted a cross-sectional descriptive study among 352 consenting pregnant women attending antenatal care at the Federal Medical Center and Adamawa State Specialist Hospital in Yola. We collected socio-demographic and obstetrics history data from the pregnant women using a semi-structured interviewer-administered questionnaire. We scored the knowledge questions with a maximum score of 32 points and a minimum of zero. A knowledge score of &lt;50% was regarded as poor knowledge while a score of 50-69.9% was regarded as fair and a score of ≥70% was regarded as good knowledge. We collected blood samples and tested for HBV using Hepatitis B surface antigen (HBsAg) rapid diagnostic test kits. We analyzed data using proportions, odds ratios (OR), and confidence intervals (CI), with the P-value at ≤ 0.05.</p>','<p>The mean age of the respondents was 26.9 years. Fourteen (3.98%) were HBsAg positive. Only 71 (20.2%) had good knowledge of viral hepatitis infection. Being employed (AOR3.7, 95%CI: 1.1-12.7) was the only predictor of the infection.</p>','<p>The prevalence of HBV among pregnant women in Adamawa is low. In a background of poor knowledge of viral hepatitis. We recommend enhanced awareness on HBV among pregnant women especially among those who are employed. Targeted screening for HBV should be conducted for all pregnant women as part of the routine ANC investigations.</p>','<p>Hepatitis B virus infection, pregnant women, risk factors, Adamawa State</p>','3','4','5','4','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-03-01 10:13:00','2023-05-16 12:36:23',NULL,177),(765,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','dr','Azuka','Adeke','male','nigeria','azukaadeke@gmail.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'15/03/2022','advanced','public-health-systems-strengthening-initiatives','Muhammad | Balogun | African Field Epidemiology Network, Nigeria | msbalogun@afenet.net','<p>Attitude and practices of informal health care providers towards febrile patients presenting at drug shops in Ebonyi State, Nigeria, 2021</p>','<p>Ebonyi State is one of the high-burden states with Lassa fever in Nigeria. Informal primary care providers such as patent medicine vendors are preferentially sought for healthcare rather than at health facilities, as there is easier access and lower cost. The patent medicine vendors own drug shops where they dispense medications for common illnesses. We therefore assessed the attitude and practices of patent medicine vendors towards febrile patients presenting to them.</p>','<p>We conducted a cross-sectional study using an interviewer-administered structured questionnaire among 197 patent medicine vendors selected using multi-stage sampling in four local government areas of Ebonyi State, Nigeria. We calculated means, medians, frequencies, and proportions.</p>','<p>Mean age was 33.1±9.4 years. Majority (102, 52%) were female, had completed secondary education (140, 71%), and were trained through apprenticeship (166, 84%). Median years of practice as patent medicine vendor was 5 years (range=1-42). In attending to febrile patients, 98 (50%, 95% CI: 43%-57%) reported they always checked their temperature, and 83 (42%, 95% CI=35%-49%) always wore hand gloves before touching them. Only 73 (37%, 95% CI: 30%-44%) perceived they had an adequate index of suspicion of Lassa fever. When Lassa fever was suspected in febrile patients, 21 (11%, 95% CI: 7%-16%) patent medicine vendors would treat them against malaria, 20 (10%, 95% CI: 6%-15%) against typhoid fever, 41 (21%, 95% CI: 15%-27%) would inform the state surveillance unit, and 135 (69%, 95% CI: 62%-75%) would refer patients to the Lassa fever treatment center.</p>','<p>Some patent medicine vendors still have poor attitude and practices toward febrile patients. However, the study participants were sensitized about Lassa fever. More patent medicine vendors need to be trained on Lassa fever as they are commonly the first healthcare contacts when people are sick.</p>','<p>Lassa fever, Febrile, Patent medicine vendors, Nigeria</p>','3','4','4','3','3','4',NULL,'Accept','Poster','Yes',NULL,'2025-03-02 10:13:00','2023-05-16 12:37:16',NULL,177),(766,'Emelda Ramutshila','Scientific Writing Coordinator - South Africa FETP','Emeldar@nicd.ac.za','ms','Naledi','Mapitja','female','south-africa','naledima@nicd.ac.za','<p>South African Field Epidemiology Training Program, National Institute for Communicable Disease a division of the National Health Laboratory Service, Sandringham, Johannesburg,</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Nchucheko Makhubele | South African Field Epidemiology Training Program, National Institute for Communicable Diseases, a division of the National Health Laboratory Services Johannesburg, South Africa | NchuchekoM@nicd.ac.za \r\nTebogo Matjokotja | Gauteng Department of Health, Public Health Directorate, Johannesburg, South Africa | Tebogo.Matjokotja@gauteng.gov.za\r\nPhuti Sekwadi | Centre for Enteric Diseases (CED) of the National Institute for Communicable Diseases a division of the National Health Laboratory Services, Johannesburg, South Africa | PhutiS@nicd.ac.za\r\nHellen Kgatla | South African Field Epidemiology Training Program, National Institute for Communicable Diseases, a division of the National Health Laboratory Services Johannesburg, South Africa | HellenK@nicd.ac.za\r\nLinda Erasmus | Centre for Enteric Diseases (CED) of the National Institute for Communicable Diseases a division of the National Health Laboratory Services, Johannesburg, South Africa | LindaE@nicd.ac.za\r\nJuno Thomas |Centre for Enteric Diseases (CED) of the National Institute for Communicable Diseases a division of the National Health Laboratory Services, Johannesburg, South Africa | JunoT@nicd.ac.za','<p>Foodborne disease outbreak investigation at a community hall in Soweto, Gauteng Province, South Africa, October 2022</p>','<p>Foodborne disease (FBD) outbreaks are of public health concern in low-income countries, affecting 92 million people and leading to 137 000 deaths annually. On 12 October 2022 a suspected FBD outbreak affecting residents sheltered in a community hall in Soweto, Gauteng Province, following the destruction of their homes in a fire, was notified. We investigated to confirm the outbreak and determine the magnitude and the cause.</p>','<p>A retrospective cohort study was conducted using standardised FBD outbreak questionnaires to interview people who were available at the time of interview and resided/ate at the hall between 10-12 October 2022. Rectal swabs were collected to test for enteric pathogens on multiplex PCR. Univariate analysis and a multivariable model were used to determine the meals associated with illness.</p>','<p>Approximately 70 people resided and/or consumed food at the hall. Twenty-two people were interviewed and 18/22(82%) reported gastrointestinal illness. The median age for cases was 22 years (range 0-44 years) and 12/18(67%) were female. Common symptoms included diarrhoea 15/18(84%), abdominal cramps 9/18(50%) and nausea 4/18(22%). Twenty-two rectal swabs were collected and all tested negative for enteric pathogens. Toxins were not tested. The supper served on 11 October 2022 showed the highest risk of illness (aOR=15; 95%CI:1.14-198.04; p0.1). There were no refrigerators in the hall, and meals were not all consumed immediately after preparation. Food samples were not available for testing.</p>','<p>This FBD outbreak was likely due to contamination of food with toxin-producing bacteria such as Bacillus cereus, with short incubation periods (8-16 hours). Unsafe storage of cooked rice has been associated with growth of toxin-producing bacteria. Food safety practices including proper preparation and storage of cooked food must be prioritized in mass catering settings.</p>','<p>foodborne, outbreak, food-poisoning, diarrhoea</p>','3','3','2','3','3','3',NULL,'Accept','Poster','Yes','<p>It was not clear from the result which was the exposure groups. The authors need to look at the result again the 95%CI presented is not in keeping with the p-value (aOR=15; 95%CI:1.14-198.04; p0.1)&nbsp;</p>','2025-03-03 10:13:00','2023-06-01 06:25:01',NULL,190),(767,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','dr','Adesoji','Odukoya','male','nigeria','adesojiodukoya@gmail.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','resident',NULL,'15/03/2023','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Magbagbeola | Dairo | University of Ibadan, Nigeria | drdairo@yahoo.com\r\nOlukemi | Olugbade | Department of Community Health, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria |                                                                                                                       titilope_nc@yahoo.com\r\nCelestine | Ameh | African Field Epidemiology Network | cameh@afenet.net\r\nSufiyan | Babale | Ahmadu Bello University, Zaria, Nigeria | sufiyanmb@yahoo.com\r\nOlumide | Oje-Adetule | Nigeria Field Epidemiology and Laboratory Training Programme | olumide.ojeadetule@yahoo.com\r\nOlayinka | Ilesanmi | African Centres for Disease Control and Prevention | \r\nMuhammad | Balogun | African Field Epidemiology Network, Nigeria | msbalogun@afenet.net','<p>Magnitude, Trends, and Seasonal Variations of Road Traffic Accidents in Ogun State, Nigeria: A Three-Year Review – 2017-2019</p>','<p>Globally, road traffic accidents (RTAs) are ranked among the eight leading causes of death. By 2030, RTAs are projected to be among the top five causes of morbidity, disability, and mortality worldwide. We assessed the magnitude, trend, common causes and predicted variations of RTAs in Ogun State, Nigeria.</p>','<p>We reviewed RTAs data from 2017-2019 based on data that was obtained from the Traffic Compliance and Enforcement Corps Ogun State Road Traffic Command. Variables analyzed included gender, location of the RTA cases, time of the year; and associated traffic violations/offenses. We analyzed data using frequencies and proportions while the additive decomposition model was used in the predictions of the variations in the patterns of RTA occurrences over time.</p>','<p>A total of 4,611 RTA events comprising of 3,533 injured cases, 625 deaths, and 453 unhurt/not-hospitalized cases were reported. The case fatality rate (CFR) in the three years under review was 13.6%; with Ado-Odo/Ota an urban LGA having the highest (18.7%) and Ogun Waterside a rural LGA the lowest (4.0%). More males were injured (66.1%) and died (72.5%). The commonest causes of the RTAs were speeding (29.4%) and the use of mobile phones (26.4%). The highest number of RTAs occurred in December (10.4%) while June had the lowest (6.5%). Decomposition model revealed an increase of 4.96 percentage points in the variation rate of RTAs every quarter.</p>','<p>Road traffic accidents in Ogun State are largely due to preventable human habits such as speeding and the use of mobile phones. The pattern of increase in RTAs in the state is likely to continue to the next decade unless efforts are directed at enhancing drivers’ adoption of preventive behaviours. Strict enforcement of road safety legislation for speeding, fines for use of the mobile phone when driving, and health education to all road users on the importance of using seat belts are recommended. Monitoring of road usage and sensitization of road users during periods of festivities and the onset of rains should be prioritized by the Road Safety Agencies.</p>','<p>Speeding, Mobile phone usage, Traffic Offences, variations, Ogun State</p>','3','4','3','3','4','3',NULL,'Accept','Oral','Yes',NULL,'2023-05-03 10:13:00','2023-06-05 19:06:52',NULL,190),(768,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','mrs','Aisha','Abubakar','female','nigeria','aisha.abba@ncdc.gov.ng','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'10/2/2022','intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Celestine Ameh | African Field Epidemiology Network, Nigeria | cameh@afenet.net, \r\nAisha | Sadauki | Nigeria Centre for Disease Control and Prevention | ahsadauki@gmail.com \r\nArhyel| Malwgi | Nigeria Centre for Disease Control and Prevention | arhyel.malgwi@ncdc.gov.ng, \r\nAishat | Usman | African Field Epidemiology Network, Nigeria | ausman@afenet.net, \r\nMuhammad | Balogun | African Field Epidemiology Network, Nigeria| msbalogun@afenet.net, \r\nOladipo | Ogunbode | Nigeria Centre for Disease Control and Prevention | oladipo.ogunbode@ncdc.gov.ng, \r\nChinwe | Ochu | Nigeria Centre for Disease Control and Prevention |chinwe.ochu@ ncdc.gov.ng','<p>Evaluation of Adamawa State Measles Surveillance System, 2017-2020</p>','<p>Globally, measles remains the fifth leading cause of under-five child mortality. Nigeria was one of the top 5 countries with the largest number of reported measles cases in 2017. Despite the wide spread of measles outbreak in Adamawa State in the past years, an evaluation of measles surveillance systems has not been conducted. Therefore, we evaluated the performance of measles surveillance systems and key attributes in Adamawa state, Northeast Nigeria.</p>','<p>We used CDC’s 2001 Updated Guidelines for Evaluating Public Health Surveillance Systems. We purposively interviewed 25 key informants. We also analyzed the Adamawa State measles surveillance data from 2017- 2020 to assess usefulness, representativeness, and data quality/completeness and calculate the Non-Measles-Febrile- Rash-Illness rate (NMFRI)</p>','<p>The structure of surveillance data flow was from the community to the respective upper level. The structure and operational process was found to be simple (100%) and flexible (71%). The system was found to be useful as it was able to detect outbreaks and trends of cases over time, representative as cases were captured cases from all LGAs but unstable due to lack of sustainable funding and ownership by the Adamawa State Government as the system is mostly donor-driven and has been interrupted due to inadequate funds. From 2017-2020, only 60% of cases investigated had complete laboratory data and results and the NMFRI rate was less than WHO target of 2 per 100,000.</p>','<p>The system was found to be unstable due to inadequate funding, we also found data quality to be poor. We recommend that the Adamawa State Government should have a dedicated budget for measles surveillance activities and other priority diseases for stability and sustainability. A re-training for data clerks on data management was also recommended.</p>','<p>Measles, Surveillance, Evaluation, Adamawa</p>','4','2','3','2','3','2',NULL,'Reject','Rejected','Yes','<p>The methods section is very scanty. The author did not indicate the study design and period. Also, the author did not specify attributes that were measured through interviewing participants and how analyses were performed.</p>','2025-03-04 10:13:00','2023-05-25 16:35:55',NULL,143),(769,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','dr','Adeola','Odunkanmi','male','nigeria','odukanmi2@gmail.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'15/04/2023','advanced','non-communicable-diseases-ncds-injuries-and-mental-health','O | Popoola | University of Ibadan | drpopee@gmail.com\r\nA |Degun | University of Ibadan | deguna@yahoo.com\r\nBabatunde | Gbadebo | University of Ibadan | tundegbadebo2005@yahoo.com\r\nMuhammad | Balogun | African Field Epidemiology Network | msbalogun@afenet.net\r\nOlufunmilayo | Fawole | University of Ibadan | fawoleo@ymail.com','<p>Quality of management for adult hypertensives attending rural and urban primary health centers in Oyo State, Nigeria: A comparative study.</p>','<p>The role of primary healthcare centers (PHCs) in the management of hypertension is important. Rural-urban differentials underlie many health attributes and health outcome that favors urban. We, therefore, compared possible variations in the quality of management of hypertension between the rural and urban PHCs in Oyo State.</p>','<p>We conducted a comparative cross-sectional study involving 460 healthcare workers, 460 patients, and 100 PHCs coordinators chosen through multi-stage sampling from 10 local government areas (LGAs) of Oyo State. We surveyed the presence of treatment equipment, adequacy of the number of healthcare workers (HCWs), and the perception of patients about the quality of care received. We collected data from heads of facilities, patients, and HCWs using three study tools deployed electronically. Categorical data were summarized as proportions, and some were subjected to chi-square and student independent t-tests. P-values &lt;0.05 were considered significant.</p>','<p>More training was conducted for HCWs in the rural 24 (10.4) compared to the urban 17 (7.4%) PHCs. 430 patients (95.7%) agreed to get clear instructions from the HCWs without rural-urban dichotomies. 55.2% of the patients demonstrated good knowledge of hypertension, and 31.1% of these are urban patients. Chi-square analysis confirmed a significant difference in patient counseling and education on lifestyle modifications was higher in the rural PHC, (P-value=0.04). Urban HCWs (49.5%) correctly responded to expected blood pressure values for well-controlled hypertension without comorbidity. Blood pressure (mmHg) measured in the rural PHCs (SBP=151.27±12.04; DBP=96.37±9.12) was insignificant compared to the urban (SBP=149.92±16.30; DBP=95.16±7.12). Generally, PHCs showed poor community engagement (2.0%) to care for hypertension.</p>','<p>Training and retraining of HCWs in both strata of PHCs should be reinforced to promote quality care of patients while treatment devices relevant to the management of hypertension are made available. Facility heads were counseled on the importance of community engagements and education in patient management.</p>','<p>Hypertension, Management, Quality, Primary Health Centers, Rural, Urban</p>','4','4','2','2','2','3',NULL,'Accept','Poster','Yes','<p>Add study period. The number of study participants could be presented under results instead of methods. &nbsp;The results of the study are not really indicating everything that one would expect after reading the study aim and methods: for instance, under methods, the author indicated that they assessed the \"presence of treatment equipment, adequacy of the number of healthcare workers (HCWs), and the perception of patients about the quality of care received\" we would expect to see results that speak to these aspects that were assessed. Instead, the presented results are mainly indicating the education/ trainings that were conducted.&nbsp;</p><p>The conclusion section includes the presence of devices; a part that was not presented under results. This abstract is presenting an important public health topic, but it needs to be revised to include all results.&nbsp;</p>','2025-03-05 10:13:00','2023-05-24 12:27:49',NULL,143),(770,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','mr','Elihu','Adabara','male','nigeria','elieelihu@gmail.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'15/03/2021','intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Aisha | Sadauki | Nigeria Centre for Disease Control and Prevention | ahsadauki@gmail.com\r\nAishat | Usman | African Field Epidemiology Network | ausman@afenet.net\r\nHenry | Nweke | Nigeria Centre for Disease Control and Prevention(henry.nweke@ncdc.gov.ng) \r\nOladipo | Ogunbode Nigeria Centre for Disease Control and Prevention | oladipo.ogunbode@ncdc.gov.ng\r\nPatrick Gimba | Nigeria Centre for Disease Control and Prevention | drpatrickgimba@gmail.com\r\nMuntari | Hassan | Nigeria Centre for Disease Control and Prevention | muntari.hassan@ncdc.gov.ng \r\nAbiodun | Eguenu | Nigeria Centre for Disease Control and Prevention | abiodun.egwuenu@ncdc.gov.ng\r\nYakubu | Abdullahi | Nigeria Centre for Disease Control and Prevention | yakubu.abdullahi@ncdc.gov.ng \r\nOkeoma | Erojikwe | Nigeria Centre for Disease Control and Prevention | okeomaa@gmail.com\r\nMuhammad | Balogun | African Field Epidemiology Network, Nigeria | msbalogun@afenet.net','<p>Cholera Outbreak investigation in Niger State Nigeria – An unmatched case control study</p>','<p>Cholera outbreak is seasonal in Nigeria with a case fatality rate of 5.5% in 2020 and 3.2% in 2021. An outbreak of cholera was confirmed in Niger state amid insecurity. We investigated to describe the outbreak, determine its source and risk factors, and institute control measures.</p>','<p>We compared cases from the communities and the facilities using unmatched controls (1:2). Cases were patients with acute watery diarrhea, with or without vomiting while controls were persons without history of acute watery diarrhea. We interviewed our study participants using structured questionnaire to collect demographic and cholera risk factors data. We described the outbreak over time, and then tested our hypotheses using unconditional logistic regression at p&lt;0.05.</p>','<p>We identified 67 cases (Mean age 31.4±SD16.1) and recruited 134 controls (Mean age 36.5±SD13.9). Stool, salad and water samples yielded isolates of Vibrio cholerae O1 of serological subtype Ogawa. Children accounted for a large proportion of the population. Storing water in an open-mouthed container (AOR: 2.93; 95% CI: 1.42-6.08) and consumption of salad (AOR: 2.28 95% CI: 1.00-5.19) were independently associated with cholera.</p>','<p>Our findings demonstrated cholera foodborne transmission via the consumption of salad and its waterborne transmission via the consumption of contaminated water. Washing hands with soap after visiting the latrine was protective. We recommended the cooking of vegetables and proper treatment and storage of water.</p>','<p>Cholera, Outbreak Investigation, Niger State, Nigeria</p>','3','3','3','3','4','3',NULL,'Accept','Oral','Yes','<p>Abstract should note and presentation should discuss that these CFRs are well above the target of 1% for cholera outbreaks. In addition, presentation could link this to the larger context of many recent cholera outbreaks, as well as any impacts of the insecurity mentioned on the investigation and control measures.</p>','2025-03-06 10:13:00','2023-05-26 09:06:52',NULL,143),(771,'Emelda Ramutshila','Scientific Writing Coordinator - South Africa FETP','Emeldar@nicd.ac.za','ms','Nchucheko','Makhubele','female','south-africa','NchuchekoM@nicd.ac.za','<p>South African Field Epidemiology Training Program, National Institute for Communicable Disease a division of the National Health Laboratory Service, Sandringham, Johannesburg</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Tebogo Matjokotja | Gauteng Provincial Department of Health, Public Health Directorate, Johannesburg, South Africa | Tebogo.Matjokotja@gauteng.gov.za \r\nMzimasi Neti | Gauteng Provincial Department of Health, Public Health Directorate, Johannesburg, South Africa | mzineti@gmail.com \r\nNqobile Ngoma | South African Field Epidemiology Training Program, National Institute for Communicable Disease a division of the National Health Laboratory Service, Sandringham, Johannesburg | NqobileN@nicd.ac.za \r\nNtsieni Ramalwa-Sekhwama | World Health Organisation, Gauteng Province, South Africa | ramalwasekhwaman@who.int \r\nPhuti Sekwadi | Centre for Enteric Diseases; National Institute for Communicable Diseases a division of National Health Laboratory Services; Johannesburg, South Africa | phutis@nicd.ac.za \r\nJuno Thomas | Centre for Enteric Diseases; National Institute for Communicable Diseases a division of National Health Laboratory Services; Johannesburg, South Africa | junot@nicd.ac.za \r\nLinda Erasmus | Centre for Enteric Diseases; National Institute for Communicable Diseases a division of National Health Laboratory Services; Johannesburg, South Africa | lindae@nicd.ac.za \r\nRefilwe Mokgetle | Gauteng Provincial Department of Health, Public Health Directorate, Johannesburg, South Africa | Refilwe.Mokgetle@gauteng.gov.za','<p>Cholera outbreak investigation, Gauteng Province, South Africa, 2023: Re-emerging public health problem</p>','<p>On 1 February 2023, the Gauteng Department of Health was notified of the first imported suspected cholera case from a hospital in Johannesburg. This follows ongoing outbreaks in neighbouring African countries. Cholera is not endemic in South Africa and the last outbreak was in 2007/8. We investigated to confirm the existence of an outbreak, identify cases and institute prevention and control measures.</p>','<p>We conducted a cross-sectional study in two districts in the Gauteng Province. We defined a case as confirmed when toxigenic Vibrio cholerae O1 or O139 was isolated from patients presenting with watery diarrhoea using a polymerase chain reaction and/or stool culture test. A structured in-person interview was conducted to gather demographic and clinical characteristics. Stool and rectal samples were collected for laboratory testing and serotyping. Water samples were taken for laboratory analysis. We used descriptive statistics to summarise the data.</p>','<p>A total of 10 cases tested positive for toxigenic Vibrio cholerae O1 serotype Ogawa. Sixty percent (6/10) of cases were females, with median age was 38 years (range: 10–50). Two (20%) of the cases were imported from Malawi, one case was a primary contact of the two imported cases. Overall case fatality ratio of 10% (1/10), with 70% of cases acquired infection locally. Domestic drinking water was confirmed safe for drinking in affected areas.</p>','<p>Toxigenic Vibrio cholerae O1 serotype Ogawa is the current cause of the outbreak affecting all cases, the source is still unknown. All cases were treated, advised to isolate and practice safe hygiene. Health education is continuing in affected communities as there is a growing number of local transmissions. The investigation is ongoing and surveillance is continuing.</p>','<p>Vibrio cholerae, diarrhoea, Gauteng Province, outbreak</p>','4','3','4','4','3','4',NULL,'Accept','Oral','Yes',NULL,'2025-03-07 10:13:00','2023-06-01 01:52:46',NULL,190),(773,'Emelda Ramutshila','Scientific Writing Coordinator - South Africa FETP','Emeldar@nicd.ac.za','ms','Tshifhiwa','Mafara','female','south-africa','tshifhiwa.mafara@gmail.com','<p>Gauteng Department of Health, Johannesburg Health District, Johannesburg, South Africa</p>','alumni',NULL,'14/10/2022','frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Emelda Ramutshila | South African Field Epidemiology Training Programme, National Institute for Communicable Diseases a division of National Health Laboratory Services; Johannesburg, South Africa | emeldar@nicd.ac.za \r\nTebogo Matjokotja | Gauteng Department of Health, Public Health Directorate, Johannesburg, South Africa | Tebogo.Matjokotja@gauteng.gov.za \r\nRefilwe Mokgetle | Gauteng Department of Health, Public Health Directorate, Johannesburg, South Africa | Refilwe.Mokgetle@gauteng.gov.za \r\nHellen Kgatla | South African Field Epidemiology Training Programme, National Institute for Communicable Diseases a division of National Health Laboratory Services; Johannesburg, South Africa | hellenk@nicd.ac.za','<p>Analysis of the agricultural or stock remedy poisoning surveillance data, Johannesburg Health District, Gauteng Province, 2022</p>','<p>Individuals get exposed to agricultural or stock remedy poisoning in both the domestic and industrial domains. In South Africa, agricultural or stock remedy poisoning is a category 2 notifiable medical condition (NMC). We aimed to describe the agricultural or stock remedy poisoning cases and conduct a data quality audit of the surveillance data.</p>','<p>We conducted a descriptive cross-sectional study of agricultural or stock remedy poisoning cases reported in the Johannesburg Health District (JHD). We randomly selected three healthcare facilities to conduct a data quality audit (DQA) using a worksheet to identify data quality gaps and conducted a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis. Microsoft Excel was used for data management and analysis, and descriptive statistics such as frequencies were used to summarise data.</p>','<p>A total of 77 cases were analyzed. Sixty percent (46/77) of cases were males, the median age was 25 years (range 2–64), and a case fatality rate of 2.6%. Ninety-nine percent of cases were hospitalised for treatment, and the most common presenting symptoms were diarrhoea, vomiting and pinpoint pupils. The surveillance database did not document education and occupation history. The JHD has 41 reporting healthcare facilities required to report agricultural or stock remedy poisoning cases including zero reporting. DQA findings showed 80% of healthcare facilities were not reporting cases, and eight healthcare facilities reported cases with &gt;80% reporting within stipulated timelines. SWOT analysis showed the availability of electronic NMC tools in some facilities, making the notification and capturing of cases easier.</p>','<p>The magnitude of cases reported among males of productive age. Limited information on education and occupation made it difficult to further analyse intentions or circumstances around poisoning. There is a need to strengthen surveillance of agricultural or stock remedy poisoning and to investigate risk factors among younger age groups.</p>','<p>agricultural/stock remedy, poisoning, surveillance, occupation</p>','3','3','2','2','3','2',NULL,'Reject','Rejected','Yes',NULL,'2025-03-08 10:13:00','2023-06-01 06:49:26',NULL,190),(774,'Emelda Ramutshila','Scientific Writing Coordinator - South Africa FETP','Emeldar@nicd.ac.za','ms','Mmakopa','Mohlala','female','south-africa','kupza91@gmail.com','<p>City of Tshwane Health Department, Health Programmes, Pretoria, South Africa</p>','alumni',NULL,'14/10/2022','frontline','vector-borne-and-neglected-tropical-diseases-ntds','Emelda Ramutshila | South African Field Epidemiology Training Programme, National Institute of Communicable Diseases a division of the National Health Laboratory Services, Johannesburg, South Africa | emeldar@nicd.ac.za \r\nTebogo Matjokotja | Gauteng Department of Health, Public Health Directorate, Johannesburg, South Africa | Tebogo.Matjokotja@gauteng.gov.za \r\nRefilwe Mokgetle | Gauteng Department of Health, Public Health Directorate, Johannesburg, South Africa |Refilwe.Mokgetle@gauteng.gov.za  \r\nHellen Kgatla | South African Field Epidemiology Training Programme, National Institute of Communicable Diseases a division of the National Health Laboratory Services, Johannesburg, South Africa | hellenk@nicd.ac.za','<p>Analysis of Schistosomiasis cases, Tshwane District–Gauteng Province, South Africa, January–July 2022.</p>','<p>Schistosomiasis is a neglected tropical disease with estimated 250 million people requiring preventive treatment. People are exposed to schistosomiasis during agricultural, domestic, occupational and recreational activities in infested water. The prevalence of Schistosomiasis in children in some endemic areas is up to 95%, however, it is not prevalent in Gauteng Province. We described the epidemiology of schistosomiasis cases and conducted a data quality audit on schistosomiasis surveillance data in Tshwane District.</p>','<p>We conducted a descriptive cross-sectional study using secondary data from the Notifiable Medical Conditions surveillance system from January–July 2022. A confirmed case was defined as a person with schistosome eggs reported in urine or faeces, or on histopathology from biopsy samples; or ≥4-fold rise in titre of serological test over 2 weeks; or repeatedly positive antigen test in Tshwane District. Microsoft Excel was used to analyse data, and descriptive statistics were used to summarise data.</p>','<p>A total of 78 cases were reported, and males accounted for 53% of the cases. The median age was 28.5 years (range 0‒74), and more than half (52.6%, 41/78) of the cases were aged 15‒34 years. More of the cases (21.8%, 17/78) occurred in April and 41% (32) of the cases resided in Sub-district 4, a predominantly urban area. A case fatality rate of 8.1% (6/78) was observed. Variables with high proportions of missing data were travel history (97.4%, 76/78) patient outcomes (87.2%, 68/78) and treatment issued (23.1%, 18/78). Information on occupation and exposure history to recreational activities was not collected.</p>','<p>An increase in Schistosomiasis cases was observed in Tshwane District, however, the source was not established due to limited information collected. Revisions of data collection tools and further studies are required to determine the risk factors.</p>','<p>Schistosomiasis, Tshwane District, Surveillance, neglected tropical diseases</p>','2','3','2','2','2','3',NULL,'Reject','Rejected','Yes',NULL,'2025-03-09 10:13:00','2023-06-01 01:46:55',NULL,190),(775,'Yassa   Daniel Ndjakani','FETP - COI','yndjakani@gmail.com','dr','Yassa','Antso Hasina1','male','madagascar','harena.rasamoelina@coi-ioc.org','<p>FETP-COI</p>','alumni',NULL,'22/06/2022','frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','*, Andriambahiny Bodonarivo Olivia1, 2, Vololoniaina Manuela Christophère1,2, Andriamialivelo Sylvia2,3, Arimisa Rivo2,4, Rakotonarivo Jean Martin2, Raoilison Jeremie5, Ye Maurice6, Rakotoarivony Marie Clémence2,3, Randriatsarafara Fidiniaina7,Harena Rasamoelina        Yassa D.Ndjakani   ,Nestor    Ndakala            \r\n\r\nFETP COI','<p>INVESTIGATIONS DE CAS DE PALUDISME DANS LE DISTRICT D’AMBOHIDRATRIMO, REGION ANALAMANGA, MADAGASCAR 2022</p>','<p>Le service de district de santé publique d’Ambohidratrimo est considéré comme une zone vers l’élimination du paludisme (incidence inférieure à 1‰ habitants). A la 12e semaine épidémiologique 2022, un dépassement du seuil d’alerte a été observé motivant ainsi une investigation. L’objectif de cette enquête a été d’investiguer les cas de paludisme notifiés par les formations sanitaires du district Ambohidratrimo.</p>','<p>Les définitions des cas de paludisme ont été utilisées avec établissement d’une liste linéaire concernant les caractéristiques socio-démographiques, cliniques et thérapeutiques des patients. Les registres de consultation externe des 3 centres de santé de base (CSB) visités ont servis de base pour l’investigation pour la période de Semaine1 à Semaine18. Des recherches actives en communauté des cas de la même localité que les cas positifs observés ont été effectuées.</p>','<p>Au total, 279 cas de paludisme ont été enregistrés, répartis dans les 3 CSB du district et avec 12,2% de cas hors secteur. L’âge médian a été de 18 ans (min-max [0 – 86 ans]). Le taux d’attaque globale a été de 10,5‰ avec une létalité à 0%. Une notion de déplacement fréquent de la population vers les districts d’Ankazobe et de Maevatanana a été rapportée. Une augmentation des cas autochtones a été observée à partir de Semaine11.</p>','<p>Des cas de paludisme hors secteurs et/ou importés pourraient être la source des infections qui sont entretenues avec la présence de conditions favorables au développement de la maladie. Une insuffisance en intrants de santé associée à des interventions limitées et un retard de rapportage de données de surveillance sur le paludisme favoriseraient cette explosion. Le renforcement de la surveillance des cas, la conduite d’une investigation avancée et des actions de ripostes promptes et efficaces sont des conditions nécessaires pour aller vers l’élimination géographique du paludisme.</p>','<p>Paludisme ; Surveillance Intégrée des Maladies et Riposte ; Investigation ; Riposte ; Madagascar</p>','4','3','3','3','4','3',NULL,'Accept','Poster','Yes','<p>-L’instruction sur le nombre maximal de mots a été respecté. Par contre l’instruction sur les mots clés n’a pas été respectée.</p><p>-La méthodologie ne précise pas le type d’étude qui a été réalisé. Egalement il n’y a aucune précision sur les types d’analyse qui été faites.</p><p>-Les résultats ne présentent rien sur les caractéristiques socio-démographiques (à part l’âge), cliniques et thérapeutiques des patients, qui avaient été annoncées dans la méthodologie.</p><p>Vous dites qu’il y a déplacement fréquent de la population vers d’autres districts tels que ceux d’Ankazobe et de Maevatanana. Dans le même temps vous dites qu’une augmentation des cas autochtones a été observée à partir de Semaine11.</p><p>La consultation des registres de soins a révélé quoi&nbsp;? Est-ce que le taux de fréquentation de ces formations sanitaires a varié&nbsp;?&nbsp; Qu’en est-il de la pluviométrie&nbsp;? Qu’en est-il des intrants&nbsp;?&nbsp;</p><p>C’est en tenant compte de tous ces éléments que vous pourriez tirer votre conclusion.</p><p>- La conclusion n’est pas basée sur les résultats présentés. Elle est à revoir en prenant en compte les observations sus mentionnées.&nbsp;</p>','2025-03-10 10:13:00','2023-05-05 17:24:32',NULL,174),(776,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','mr','Nassoro','Mwanyalu','male','kenya','namwanyalu@gmail.com','<p>Kenya FELTP</p>','alumni',NULL,'28/10/2022','advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Maurice Owiny, Kenya FELTP, mowiny@feltp.or.ke','<p>Mortalities and associated risk factors among HIV-positive Opioid-dependent clients enrolled in Medically Assisted Therapy(MAT) program in Mombasa-Kenya.</p>','<p>High-risk drug use behaviours are a significant contributor to HIV epidemics worldwide. Evidence on MAT has shown a positive impact on quality of life and low mortality rates among methadone clients. There is limited data on the impact of MAT among HIV clients accessing MAT services in Mombasa. We assessed mortality rates and associated risk factors among MAT clients in the Kisauni MAT clinic.</p>','<p>We reviewed records for opioid-dependent clients enrolled in Kisauni MAT clinic, Mombasa county, between 2015–2021. Clients with HIV-positive tests at baseline were eligible. Using the Epi info version 7.3, Univariate and bivariate analyses were performed. All factors with a P-value≤0.05, their Odds Ratio(OR), and 95% Confidence Intervals(CI) were considered statistically significant.</p>','<p>A total of 158 opioid-dependent clients were HIV positive during enrolment; the mean age was 36 years SD±7.5, 34/158, 34/74 had used heroin for ≤5 years, and Males were the majority at 63.9%(101/158). Half 51.9%(82/158) of the HIV-positive clients had a history of injecting drugs. HIV/HCV coinfection was 21.5%(34/158), and HIV/Hept B at 1.5%(23/158). Of those who died, 42.9%(9/21) were HIV-related deaths, 28.8%(5/21) were an overdose, and 14.2%(3/21) were killed by mob justice. History of incarceration before MAT was a predictor of mortality Odds Ratio 3.7( CI 1.5,9.9) P-Value 0.003.</p>','<p>We recommend integrating Harm Reduction services with the Prisons departments to identify clients eligible for MAT early in their HIV infection.</p>','<p>Methadon, HIV Infections, Prisons, Heroin, Epidemics</p>','3','2','2','2','2','2',NULL,'Reject','Rejected','Yes',NULL,'2025-03-11 10:13:00','2023-05-11 10:22:56',NULL,92),(777,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','mr','Collins','Angute','male','kenya','angutecollins@gmail.com','<p>Kenya FELTP</p>','resident',NULL,NULL,'advanced','vector-borne-and-neglected-tropical-diseases-ntds','Grace Rabut | Field Epidemiology and Laboratory Training Program (FELTP), Kenya; rabutgrace@gmail.com\r\nMike Muganda | Kakamega County Department of Health.\r\nEmmanuel Okunga | Division of Disease Surveillance and Response (DDSR), Ministry of Health Kenya | okungae2012@gmail.com\r\nFredrick Ouma | Field Epidemiology and Laboratory Training Program (FELTP), Kenya\r\nElvis Oyugi | Division of National Malaria Program (DNMP), Ministry of Health, Kenya;\r\nFredrick Odhiambo| Field Epidemiology and Laboratory Training Program (FELTP), Kenya\r\nMaurice Owiny |  Field Epidemiology and Laboratory Training Program (FELTP), Kenya','<p>Investigation of a Suspected Malaria Outbreak at a High school in Kakamega County, Kenya, May - June 2022</p>','<p>A suspected Malaria outbreak at a Girls’ High School in Kakamega County, was reported on 24th May 2022 by local media. Preliminary reports indicated that 28 students presented with a history of fever and diarrhea while 9 had confirmed malaria-positive results. We assessed the risk factors associated with the outbreak at the school.</p>','<p>A retrospective cohort study design was used. Cohort, were students who presented with history of fever, headache, diarrhea, and abdominal pain at the time of outbreak. We generated a line list from the school’s sickbay register from 15th May to 7th June 2022. Structured questionnaires were administered to the cohort. We also conducted a desk review of data from the Kenya Health Information System (KHIS) to ascertain the county’s malaria situation. We collected demographic variables (dormitories, classes), and clinical findings (signs and symptoms). Water samples were collected by Kakamega Water and Sewerage Company (KACWASCO) for bacteriological culture. Data obtained were cleaned, analyzed using Epi Info, and presented in proportions.</p>','<p>Desk reviews revealed a decline in positive malaria cases from 87,051 to 37,075 (-43%, C.I 42.26, 42.92). A total of 525 cases were line-listed. Form three students contributed an attack rate of 53% (C.I 48.86, 57.39). Dormitories attack rates: DormI 37% (C.I 25.79, 49.59), DormII 25% (C.I 17.87, 33.32), DormIII 24% (18, 30.58). The form three streams’ attack rates: South 63% (C.I 46.86, 76.39) West 61% (C.I 45.53, 74.92) East 59% (C.I 46.48, 71.27) North 58% (C.I 44.89, 70.64). The commonest symptoms were headache 77% (C.I 70.19, 82.61), fever 55% (C.I 46.78, 63.91), and diarrhea 53% (44.4, 62). The water samples analysis report from KACWASCO revealed E. coli contamination.</p>','<p>The bacterially contaminated water could have led to the febrile illness outbreak in the school. The school management and KACWASCO should ensure that students take treated quality water.</p>','<p>Abdominal pain, Diarrhea, E. coli, Fever, Contaminated water</p>','3','2','3','1','1','0',NULL,'Reject','Rejected','Yes','<p>I believe if this is a suspected malaria investigation, there should have been discussions around laboratory investigations on malaria parasites being present if any malaria test was done among the cohort in question for this study.</p><p>&nbsp;</p><p>This is not clear at all in the study</p>','2023-05-06 10:13:00','2023-05-15 08:00:35',NULL,18),(778,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','mr','David','Gitau','male','kenya','gitaudavid47@yahoo.com','<p>Muranga County Department of Health, Kenya</p>','resident',NULL,NULL,'frontline','hiv-aids-tuberculosis-and-other-opportunistic-infections','Maria Nunga | Kenya FELTP | mnunga@feltp.or.ke\r\nMaurice Owiny | Kenya FELTP | mowiny@feltp.or.ke\r\nCaren Ndeta | Kenya FELTP | cndeta@feltp.or.ke','<p>Characterization of new HIV positive cases in Maragua Sub County Hospital, Murang’a County, Kenya- A cross sectional retrospective study.</p>','<p>About 20,663 people were estimated to be living with HIV in Murang’a County in 2021. Even though remarkable progress has been made in the county towards achieving the UNAIDs 95/95/95 strategy, the county has only managed to identify 85% of all its people living with HIV. In order to bridge the identification gap and achieve both the national and county goal of HIV epidemic control by 2030, new strategies need to be employed in order to identify and link the remaining 10% (2,882) to care and treatment. We described the social-demographic characteristics of HIV cases in Maragua Sub County Hospital in 2021.</p>','<p>Using pre-tested developed structured data collection tool, a cross sectional retrospective review of all HIV positive cases identified in the facility in 2021 and recorded in the HIV testing &amp; linkage register was reviewed and analyzed using the Microsoft excel tool. Data variables collected included: age, gender, marital status, testing point, TB status, sero-concordance among couples, whether 1st time testers and linkage status</p>','<p>A total of 119 adults tested HIV positive in 2021; age distribution: 24% (23-34 years), 40% (35-46 years), 24%(47-58 years), 11%(59-70 years) and 1% (71-82 years); gender: 59% females and 41% males; marital status: 23%-divorced, 66%-married monogamous, 3%-married polygamous and 8%-widowed; testing point: 75%-outpatient department, 6%-inpatient department, 6%-antenatal clinic, 6%-CCC, 5%-home based, 2%-VCT and 1%-mobile outreach; TB status: 71%-no TB signs, 29%-presumed TB; sero concordance among couples: 86%-sero concordant, 14%-sero discordant; 1st time testers-54%, ever tested for HIV-46%; linkage: 82%-linked, 18%-not linked.</p>','<p>HIV positive cases were high among the female gender, married couples and in individuals aged between 35-46 years who present themselves in the outpatient department. More than half were 1st time testers, in order to bridge the identification gap, there is a need to scale up targeted testing among this population.</p>','<p>HIV, Gender, TB, Strategy, Kenya</p>','3','4','2','2','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-03-12 10:13:00','2023-06-05 20:48:52',NULL,190),(779,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','mr','Nassoro','Mwanyalu','male','kenya','namwanyalu@gmail.com','<p>Kenya FELTP</p>','alumni',NULL,'28/10/2022','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Maurice Owiny | Kenya FELTP | mowiny@feltp.or.ke','<p>Who is taking methadone in Mombasa, Kenya? a Records Review, 2015–2022</p>','<p>Little is known about the characteristics of clients assessing the Opioid Substitution Therapy(OST) program in Mombasa. Methadone is a harm reduction strategy targeting opioid-dependent clients to stop risky sexual behaviour and reduce HIV transmission and criminality. We aimed to describe social demographic and clinical characteristics for OST entrants in Mombasa, 2015–2022.</p>','<p>We performed a records review in three outpatient health public facilities offering MAT services to opioid-dependent clients in Mombasa County enrolled between 2015–2021. We collected variables at baseline and treatment outcomes as of December 2021. Descriptive analysis was conducted using Epi info version 7.3.</p>','<p>A total of 1767 clients were enrolled between 2015–2022. The mean age was 37 years SD±12.7, Majority were male at 88.1%(1557/1767). Only 29%(513/1767) were married at enrolment, 69.4%(1227/1767) were unemployed, 56%(989/1767) had primary level of education and 33.1%(585/1767) were people who inject drugs. The period of drug use before MAT ranged from 3–26 years (median 7), and 2.7%(48/1767) were enrolled while in prison. HIV prevalence at baseline was at 10.9%(193/1767), Hepatitis B at 3.7%(66/1767), Hepatitis C at 6.8%(118/1767). Almost half of the HIV-positive clients were injectors at 48.7%(94/193), and 1.6%(3/193) had defaulted to methadone and ART. On treatment outcomes, 3%(53/1767) were successfully weaned off and 3.7%(66/1767) had died.</p>','<p>There was a high prevalence of HIV among people who inject drugs. We recommend improvement of treatment adherence for HIV-positive clients.</p>','<p>HIV, Opioid, Kenya, Hepatitis, Prison, Methadone</p>','3','4','3','2','3','3',NULL,'Accept','Oral','Yes','<p>The conclusion did not address the objective of the study. The authors could draw some conclusions from the result to answer the objective</p>','2025-03-13 10:13:00','2023-06-05 20:54:18',NULL,190),(780,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','mr','Michael','Wangari','male','kenya','mwangari90@gmail.com','<p>County Department of Health, Nyandarua County, Kenya</p>','alumni',NULL,NULL,'frontline','public-health-laboratory-systems-and-infection-prevention-control','Michael Ruitururi1| JM Kariuki County Referral Hospital, Nyandarua County | ruitururimichael@gmail.com\r\nEmma Wanjenga | JM Kariuki County Referral Hospital, Nyandarua County | wanjengaemmy@gmail.com\r\nBeatrice Mugure | JM Kariuki County Referral Hospital, Nyandarua County | bmmugure08@gmail.com','<p>Catheterization Practice for In-Patients at a County Referral Hospital, Nyandarua County, Kenya</p>','<p>Catheter Associated Urinary Tract Infections (CAUTI) is an important aspect in dealing with Healthcare Associated Infections. Sometimes people with catheter-associated urinary tract infections do not have symptoms of infection. Aseptic technique is an important aspect in curbing CAUTI, while also, indication of catheter plays an important role in preventing CAUTI. We determined the indications for catheterization, catheter care and outcome of the catheterized patients.</p>','<p>A survey was done between 14th November to 18th November 2022, involving desk review where quantitative and clinical data were collected from all patients who were catheterized. Patient files were assessed whether it was documented for indication of catheterization, date of insertion, documented input output charts, duration of catheter and whether the doctor/physician had prescribed. Urine samples for culture and sensitivity were obtained. Descriptive analysis was done.</p>','<p>A total of 13 patients were assessed: mean age was 62 years; all had an indwelling catheter. Only 39% had a medical indication for catheterization: urinary retention, strict input output monitoring and immobilization, while 62% had catheters for convenience of health care worker. Only 7.7% had symptoms for urinary tract infections. There was no documentation on the date of insertion; 20% had the date of prescription, while only 15% were prescribed by doctor or physician and 85% nurses. Culture results had significant bacterial growth: 59% of the specimen had Escherichia coli, 8% staphylococcus spp., while 31% had no growth. Erythromycin had the highest resistance rates at 64% while levofloxacin had the lowest resistance rates. Gentamycin had the highest high sensitivity rates at 28% of the samples tested.</p>','<p>E-coli was the leading cause of CAUTI in catheterized patients. Majority of patient’s catheters were for nurse’s convenience. We recommended medical education on catheter care to be conducted to unify the practice.</p>','<p>Catherization, Urinary Tract Infections, E. coli, Erythromycin, Kenya</p>','4','4','3','2','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-03-14 10:13:00','2023-06-05 21:01:16',NULL,190),(781,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','mr','Hyacinth','Egbuna','male','nigeria','egbuhyacinth@gmail.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'15/02/2022','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','AU | Okeji | Imo State Ministry of Health, Owerri, Nigeria | auchidi@yahoo.com\r\nLeonard | Ihedioha | Imo State Ministry of Health, Owerri, Nigeria | lendocare@gmail.com','<p>Descriptive Epidemiology of Monkeypox in Imo State: Outbreak Investigation and Response – 2022, Southeastern Nigeria</p>','<p>Mpox is a zoonotic disease caused by Mpox virus, which is a member of the Orthopoxvirus family and can cause a severe illness that may mimic smallpox and or chickenpox in humans. In Imo State, the first case was recorded in 2018 with death and the 2022 outbreak started on 6th January 2022 with an increasing number of cases. We investigated the magnitude of Mpox outbreak in the state.</p>','<p>We searched for cases across the 27 local government areas (LGAs) in the state using the adopted standard case definition for Mpox as person with acute illness with fever &gt;38.3 °C, intense headache, lymphadenopathy, back pain, and rashes progressing all over the body including soles of feet and palm of the hands. We collected sociodemographic and clinical data and generated a line list. We collected swabs and blood samples for laboratory confirmation using reverse transcription polymerase chain reaction (RT-PCR). We calculated rates and proportions.</p>','<p>From January to November 2022, 133 suspected cases were identified and investigated; with the highest proportion aged 0-5 years (32.3%), male (54.9%), rural residence 62.4%, family members as contacts 49.2% and Isu LGA (16.2%) as highest recorded cases. There were 37 laboratory-confirmed cases including the index case and 1 death with a case fatality rate of 2.7%. All 37 cases experienced fever, rashes on the face, rashes on the palm of the hand, rashes on the soles of the feet, pustules.</p>','<p>We enhanced surveillance during the response to drive active case search which led to the identification of more cases. There is a need to heighten the level of awareness of the disease and its risk factors for high level of index suspicion in order to promote early diagnosis and case management. We recommend the introduction of vaccination against Mpox viral infection in Nigeria most especially among under-5 children.</p>','<p>Mpox, Outbreak, Mpox Virus, Response, Rashes, Fever</p>','3','3','3','3','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-03-15 10:13:00','2023-05-26 09:10:19',NULL,143),(782,'Muhammad Shakir Balogun','Resident Advisor','msbalogun@afenet.net','mr','Hyacinth','Egbuna','male','nigeria','egbuhyacinth@gmail.com','<p>Nigeria Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'15/02/2022','intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Malgwi | Arhyel | Nigeria Centre for Disease Control and Prevention | arhyel.malgwi@ncdc.gov.ng\r\nE.T | Oparaocha | Federal University of Technology Owerri | evangeltochi@yahoo.com','<p>Tuberculosis treatment outcome among tuberculosis and Human Immunodeficiency Virus co-infected patients in Imo State, South-east, Nigeria: A retrospective study</p>','<p>Tuberculosis (TB) is a serious health threat to people living with the human immunodeficiency virus (HIV). TB is the most common opportunistic infection among people living with HIV(PLHIV); treatment management is complicated, and TB is a major cause of death in most HIV deaths. We, therefore, assessed tuberculosis treatment outcomes among HIV-infected TB patients in Imo State, South-Eastern, Nigeria</p>','<p>We retrieved the records of 707 TB/HIV patients who registered in Imo State TB treatment centres from January 2019 to December 2020 centres. The data which was stored in an MS Excel sheet after validation was extracted and cleaned. We analyzed the data by calculating TB treatment outcome proportions and disaggregating them by age and sex.</p>','<p>In the 1542 records reviewed, 707 TB patients (396 male and 311 female) were found to be positive for HIV. The treatment success rate of the HIV-infected TB patients after completion of the drug regimen was 61.4%. Out of this, 44.6% were cured, 16.8% completed treatment, 11.2% were lost to follow-up, 1.1% had treatment failure, 2.1% transferred out and 24.2% died. 38.6% of patients with TB-HIV had unsuccessful TB treatment outcomes.</p>','<p>It is important to ensure that TB/HIV patients receive Directly Observed Treatment Short Course (DOTS) course and continuous TB treatment of &gt;6 months. It is crucial to strengthen DOTS, especially among high-risk groups, in healthcare settings. Strict follow-up by healthcare providers is needed for patients with TB-HIV to gain treatment adherence and for better rates of successful TB treatment.</p>','<p>Treatment, Tuberculosis, DOTS, Outcome, TB/HIV, Co-infection</p>','2','2','3','2','1','2',NULL,'Reject','Rejected','Yes','<p>The background and methods sections are not comprehensively written, with a couple of repetitions in the background. The conclusion is not really based on the findings of the abstracts.&nbsp;</p>','2025-03-16 10:13:00','2023-05-25 16:23:40',NULL,143),(784,'Bernsah D. Lawong*','Ahmadu Bello University (ABU), Zaria Nigeria','lawongd@yahoo.com','prof','Bernsah Damian','Lawong','male','nigeria','lawongd@yahoo.com','<p>Department of Economics, Ahmadu Bello University Business School, Ahmadu Bello University (ABU), Zaria, Nigeria</p>','other','Faculty Member and facilitator in NFELTP Programme (in Preventive Effectiveness Course - Economics Evaluation in Health for Nigeria, since the inception of the NFELTP programme in Nigeria',NULL,'advanced','vector-borne-and-neglected-tropical-diseases-ntds','Bernsah Damian Lawong*\r\nDepartment of Economics\r\nAhmadu Bello University Business School\r\nAhmadu Bello University (ABU), Zaria, Nigeria\r\nEmail: lawongd@yahoo.com\r\nPhone: +2348065694285\r\n\r\nDiltokka. Gideon Kevin\r\nDistance Learning Center\r\nAhmadu Bello University (ABU), Zaria, Nigeria\r\nkdgi456@gmail.com','<p>Impact of Neglected Tropical Diseases Expenditure on Onchocerciasis Treatment Outcomes in Nigeria, 2000-2021</p>','<p>Background: Despite the existence of counterpart funding from government to finance the Neglected Tropical Diseases (NTD) programme in Nigeria, the inadequacy of these funds over the years have made NTD programme in Nigeria donor-driven. Although onchocerciasis has been eliminated in few states in Nigeria, the risk of reinfection is likely as the environment is still unfriendly and other states are still under treatment. Therefore, we examined the impact of NTD expenditures on onchocerciasis treatment outcomes.</p>','<p>Methods: We adapted the Human Capital Model and Health Production Function approach which posits that health expenditure is introduced as one of the inputs into healthcare ‘production. We collected secondary data from Global Health Expenditure database, Global Health Observatory database of World Health Organization and Central Bank of Nigeria Statistical database from 2000-2021. Missing data was forecasted using the three-year period average method. The variables used are cases treated for onchocerciasis, expenditures on NTDs and control variables. To ensure accurate results, stochastic properties of the data were tested using Augmented Dickey Fuller Test while the model was estimated using Least Square method.</p>','<p>Results: NTD domestic expenditure increased reported cases of onchocerciasis by 1.8% (P-value=0.88), while external expenditure on NTD reduced it by 17.5% (P-value=0.02), domestics private expenditure reduced it by 131.1% (P-value=0.05). Government expenditure reduced reported cases by 88% (P-value=0.064) and exchange rate increases it by 2.1% (P-value=0.044).</p>','<p>Conclusion: External expenditure and domestic private expenditure on NTD programme should be promoted as they reduced onchocerciasis cases, while much work needs to be done on government counterpart domestic expenditure as it was not significant. Funding is important to NTDs programme especially during Mass Drug Administration and therefore the programme would need to consider these finding to improve coverage.</p>','<p>Key words: Neglected Tropical Diseases (NTD), onchocerciasis, health expenditure, control variables, period averaging and Least Square Regression</p>','5','3','3','3','5','3',NULL,'Accept','Oral','Yes','<p>Very interesting work incorporating health economics, which needs to be expanded within public health. Need to better define the parameters used in analysis, for example, \"domestic private expenditure\" and \"government expenditure\" (which were protective) vs. \"domestic expenditure\" (which had no effect)</p>','2025-03-17 10:13:00','2023-05-26 09:20:33',NULL,143),(785,'Warren Malambo','Zambia FETP Public Health Specialist','ykh1@cdc.gov','dr','Jonathan','Chama','male','zambia','mpunduj@gmail.com','<p>1. Zambia Field Epidemiology Training Program; 2. National Leprosy and TB Program</p>','resident',NULL,NULL,'advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Amos | Haamukale | Zambia Field Epidemiology Training Program; Zambia National Public Health Institute | hamukalea@yahoo.com\r\nAngel | Mubanga | National Leprosy and TB Program | mubangaangel17@yahoo.com\r\nClara | Kasapo | National Leprosy and TB Program | clarakasapo@yahoo.co.uk\r\nRahab | Chimzizi  | National Leprosy and TB Program | rchimzizi@gmail.com\r\nGraham | Samungole | National Leprosy and TB Program | graham.samungole@gmail.com\r\nJudith | Mzyece | National Leprosy and TB Program | judithmzyece@gmail.com\r\nNyambe | Sinyange | Zambia Field Epidemiology Training Program; Zambia National Public Health Institute | nsinyange@gmail.com\r\nDabwiso | Banda | Zambia Field Epidemiology Training Program; Zambia National Public Health Institute | bandadb3@gmail.com','<p>An Analysis of Childhood Tuberculosis Notifications and Treatment Outcomes Incident Rates in Zambia, 2016-2021</p>','<p>Zambia is among the 30 high Tuberculosis burden countries and childhood TB is of concern because it is often difficult to diagnose. The burden of childhood TB is not well understood in Zambia, and there is limited information on trends. We aimed to estimate the incident rates ratio (IRR) of childhood TB notification and treatment outcomes in Zambia.</p>','<p>We conducted an analysis of childhood TB notification and treatment outcomes from 2016 through 2021 and 2018 to 2021 respectively. Data were from the Zambia national TB and leprosy program surveillance system. We fitted Poisson regression models to investigate counts of childhood TB notifications and treatment outcomes adjusting for sex, age, type of TB, site of TB and year. IRR were considered statistically significant at p&lt;0.05.</p>','<p>From 2016 to 2021, 15,507 notifications of childhood TB were recorded. There was nearly a twofold increase in IRR of childhood TB notifications each year from 2018-2020 and a threefold increase in 2021 (IRR: 1.79; 95% confidence interval [CI]: 1.70-1.89). TB notifications clinically diagnosed via pulmonary had the highest increase (IRR: 2.45; 95% CI: 2.35-2.55) while relapse notifications bacteriologically confirmed or clinically diagnosed via extrapulmonary and pulmonary declined overall. The median treatment success proportion for childhood TB from 2018-2021 was 92.9% (interquartile range [IQR]: 84.9-100%). Yearly IRR of treatment success proportion stayed within the IQR (p&gt;0.05). Treatment success proportion by type of TB: pulmonary bacteriologically confirmed (IRR: 1.09; 95% CI: 0.95-1.09) and pulmonary clinically diagnosed (IRR: 0.99; 95% CI: 0.94-1.05) had non-significant changes during the period.</p>','<p>The incident rate of childhood TB notifications in Zambia increased while treatment success proportions consistently performed above WHO thresholds. The study highlights the importance of continued analysis of childhood TB notifications to identify declines in treatment outcomes which may likely be beneficial to the Zambia TB program.</p>','<p>Childhood tuberculosis, incident rate ratio, treatment success proportions, Zambia</p>','3','4','4','4','5','4',NULL,'Accept','Oral','Yes',NULL,'2025-03-18 10:13:00','2023-05-30 06:24:21',NULL,120),(786,'Abba Shehu Bala','Alumni','shehubal@gmail.com','dr','Abba','Shehu Bala','male','nigeria','shehubal@gmail.com','<p>African Field Epidemiology Training Program, Abuja, Nigeria</p>','alumni',NULL,'27/02/2017','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Tijjani Hussaini   Incident Manager ( Covid -19) Kano State Primary Health Care Development Agency, Kano, Nigeria. tjhussaini@gmail.com\r\nAdam Attahiru                     Africa Field Epidemiology Network, Abuja , Nigeria                                           aattahiru@afenet.net                             \r\nMuktar Gadanya                 Community Medicine Department, Aminu Kano Teaching Hospital, Kano, Nigeria   gadanya@gmail.com\r\nDayyabu                                        Lafiya Project, Kano, Nigeria                                                                             dayyabumy@gmail.com\r\nBasheer Lawan                            Kano State Ministry for Health, Kano, Nigeria                                                 basheerlawan@yahoo.comd\r\nSabitu Shuaibu                            State Agency for Control of Aids, Kano, Nigeria.                                          syshuaibu03@gmail.com\r\nMuhammad Shakir Balogun     Africa Field Epidemiology Network, Abuja , Nigeria                                      msbalogun@afenet.net\r\nNdadilnasiya Endie Waziri         Africa Field Epidemiology Network, Abuja , Nigeria                                   ewaziri@afenet.net\r\nPatrick Nguku                              Africa Field Epidemiology Network, Abuja , Nigeria                                   pnguku@afenet.net\r\nAbdulrezaq Garba Habib    Department of Medicine , Infectious disease unit, Aminu Kano Teaching Hospital, Kano, Nigeria abdulrazaq_habib@yahoo.co.uk','<p>Verbal Autopsy as a tool of assessing mortality in a setting with poor vital statistics record during pandemic in Kano State Nigeria (2nd April – 2nd May 2020)</p>','<p>On February 27, 2020, Nigeria became one of the countries with COVID-19 infection following the importation of a case from Italy. Kano State recorded its first case on 11th April 2020. Before COVID-19 testing became widely available, a series of mass “mysterious deaths” were reported across the state which were rumored to be attributed to COVID-19 leading to panic and confusion and paralysis of the healthcare system. In a background of poor vital statistics, we sought to determine the cause of the mass \"mysterious deaths\" in using verbal autopsy (VA).</p>','<p>We conducted a retrospective study where verbal autopsies were conducted by administering a structured questionnaire to healthcare givers of all the deceased in all households with reported deaths between April 2 and May 2, 2020, and the Delphi method using two systems criteria was used to develop the algorithm for the cause of deaths and quantitative analysis was done.</p>','<p>A total of 1,774 deaths were recorded out of which 170 cases of death were discarded, out of the 1,604 deaths 17 deaths where due to non-medical causes median age 17 yrs. (range 1 – 65yrs) [males 17; fem 0 or infant], 1587 where due to medical conditions out of which median age 70yrs (range 0 – 99yrs) [male 953; fem 634] with COVID-19 potentially contributing to about 15.9% (255) of the deaths (95% CI: 14.1-17.8</p>','<p>Some deaths may also be related to the disruption of medical care and socio-economic activities due to the fear of contracting COVID-19 during epidemics. Verbal autopsy cannot confirm a diagnosis that requires laboratory testing; so, the cases of COVID-19 were at best only probable. We recommended making covid-19 testing more widely available for confirmation and strengthening of vital registration, particularly as it relates to mortality.</p>','<p>Verbal Autopsy, CoVID-19 Pandemic, mysterious deaths</p>','4','2','2','2','2','2',NULL,'Reject','Rejected','Yes','<p>Was the questionnaire administered to the household members or to the healthcare providers? What quantitative analysis was done</p>','2023-05-16 10:13:00','2023-06-05 19:31:06',NULL,190),(787,'Gildo Okure','Resident Advisor','gokure@afenet.net','dr','Joseph','Lasu','male','south-sudan','josh2013.lasu@gmail.com','<p>1Public Health Emergency Operations Center, Ministry of Health, South Sudan</p>','other','Director for EP&amp;amp;R, South Sudan Ministry of Health',NULL,'NA','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','S. S. Chol2, W. Mwanje3, G. Okure3, D. Kargbo3, J.P.A Rumunu1 \r\n1Public Health Emergency Operations Center, Ministry of Health, South Sudan\r\n2State Ministry of Health, Upper Nile State, South Sudan\r\n 3African Field Epidemiology Network, Field Epidemiology Training Program, South Sudan','<p>Cholera outbreak investigation in Malakal County, Upper Nile State, South Sudan, February-March 2023</p>','<p>Cholera remains a global threat to public health and an indicator of inequity and lack of social development. On February 22, 2023, South Sudan Ministry of Health was alerted of a suspected cholera outbreak in Malakal County after two patients with acute watery diarrhoea (AWD) tested positive for Vibrio cholerae using rapid diagnostic tests (RDTs). We conducted further investigations to confirm the outbreak, characterize and identify risk factors to inform control and prevention measures.</p>','<p>We conducted active case search in health facilities and communities, interviewed and line-listed case-patients, filled case investigation forms and collected stool samples for RDTs. We sent RDT positive stool samples to National Public Health Laboratory (NPHL) for confirmation using culture or polymerase chain reaction (PCR). A suspected cholera case was any resident of Malakal presenting with or dying from AWD from February 1, 2023. A confirmed case was a suspected case with Vibrio Cholerae 01 or 0139 infection confirmed by culture or PCR. We analysed preliminary outbreak data by computing frequencies, proportions, attack rates (AR) and case-fatality rate (CFR), and plotting epidemic curve.</p>','<p>Results are preliminary since investigations are still going on. Two out of 9 stool samples sent to NPHL were PCR-positive for Vibrio cholerae. As of March 27th, 2023, a total 511 case-patients were identified, most of whom 54% (275) were males and two died (CFR=0.4%). The median age was 1 (range: &lt;1-75) years. Most case-patients 61% (311) were 1-4 years old. Of the two affected payams (sub-counties), Malakal Town had the highest AR (140/10,0000 persons). Cholera vaccination status was unknown for 505 (99%) case-patients. The epidemic curve showed that cases are increasing.</p>','<p>Cholera outbreak was confirmed in Malakal affecting mostly children under five years, half of whom are less than one year. Investigations and response including oral cholera vaccination are still ongoing.</p>','<p>Outbreak, Vibrio Cholerae, Oral Cholera Vaccination, Malakal County, South Sudan</p>','3','3','3','2','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-03-19 10:13:00','2023-06-01 01:42:08',NULL,190),(788,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','Angela','Kisakye','female','uganda','akisakye@musph.ac.ug','<p>Makerere University School of Public Health</p>','alumni',NULL,NULL,'advanced','public-health-systems-strengthening-initiatives','Suzanne Kiwanuka; Makerere University School of Public Health, skiwanuka@musph.ac.ug\r\nMartha Akulume ;  Makerere University School of Public Health, makulume2musph.ac.ug','<p>Using High Impact Communication Strategies to increase blood donation awareness among secondary school students in Uganda</p>','<p>Blood stock outs are a frequent occurrence in Uganda. Unfortunately for the patients, it is a matter of life and death if they cannot access the much-needed blood. Research shows that knowledge about blood donation remains low in the populace (Checkley et al., 2019). Moreover the inadequate funding of UBTS continues to undermine efforts to generate adequate supplies because it lacks resources for public sensitization. Blood is needed for pregnant women, sicklers, cancer patients, surgical procedures and road traffic accidents. Approximately 55.8% transfusions go to female patients and 33.2% to children under five years (Checkley et al., 2019). In the past Uganda has relied on international partners and the corporate sector to boost its supply but this support still falls short of set targets. Moreover donated blood can only be kept for 35 days and plateletes last 5 days. Uganda blood transfusion services must therefore replenish its stock frequently. More Ugandans need to become regular blood donors. Many UBTS blood donation drives are conducted in secondary schools. However, not much has been done in raising awareness about blood donation in schools. We developed and tested high impact communication strategies to increase awareness about blood donation among secondary school students in Uganda inorder to increase knowledge and awareness of blood donation so as to increase the willingness and intention to donate blood among secondary school students.</p>','<p>This study employed a quasi-experimental study. We conducted a single group before and after study. First, we conducted a baseline survey so as to assess the students’ awareness, knowledge and practices about blood donation. We then shared IEC materials (videos, fact sheets) on the different aspects of blood donation with the students and thereafter conducted an endline survey to assess the change in students’ awareness, knowledge and practices about blood donation. The study was conducted in four schools in Eastern Uganda (i.e. two schools in Jinja and two schools in Mayuge districts). The two study districts were purposively selected i.e. Jinja to represent an urban district and Mayuge to represent a rural district. We worked with the district education officers to purposively select two secondary schools within in each district. By the time we conducted the baseline survey, only S.3, S.4, S.5 and S.6 students were present at the school. We included only S.3 and S.4 students for the baseline survey. By the time of we conducted the endline, the students had been promoted to the next class and therefore we included S.5 and S.6 students in the endline so as to maintain the same study population. For both the baseline and endline survey, census sampling was used to recruit the students. At each schools, we called for an assembly were we informed the students about the study. All the interested students were given self-administered questionnaires. Consent forms were attached to questionnaire.</p>','<p>We created blood donation clubs in the schools. The members of the blood donation clubs acted as champions to create blood donation awareness among other students in the school. We also created branded IEC materials, i.e. blogs, fact sheets and videos which were provided to the blood donation champions. These materials were used to create awareness regarding blood donation in the schools. We created a webpage on the Makerere University website to act as repository for all the study materials. The proportion of students who donated blood reduced from 23.4% in the baseline to 20.8% in the endline but this was not significant. Most respondents (77.19%, n=88) mentioned that they had donated from the school donation camps while others mentioned that they had donated from hospitals (22.81%, n=26), blood donation centers (14.04%, n=16) and regional blood banks (0.53%, n=12) at endline. The overall, the proportion of student who were knowledgeable about blood increased significantly from 28.3% at the baseline to 42.9% during the endline survey. The proportion of students with knowledge about blood donation significantly increased in the schools located in the urban area. Regarding the knowledge of the various aspects of blood donation, the proportion of students who were knowledgeable about the eligibility criteria for blood donation increased from 28.8% at baseline to 48.3% at the endline, those who were knowledgeable about the benefits of blood donation increased from 32.2% in the baseline to 41.3% in the endline and those who were knowledgeable about the potential beneficiaries of donated blood increased from 33% to 42.9%. All the chi square tests for the knowledge on the different aspect of blood donation were significant. The factors that were associated with blood donation include; current class [PR=1.37 (1.05, 1.79), p-value = 0.019) and access to internet [PR=1.61 (1.61, 2.24), p-value = 0.004).</p>','<p>Since our study showed that the high impact communication strategies improve knowledge on blood donation, Uganda Blood Transfusion Services should consider scaling up this intervention to other school by sharing IEC materials aimed at creating awareness about the benefits and eligibility regarding blood donation among secondary school students who happen to be the main blood donors.</p>','<p>Blood donation awareness; Uganda</p>','2','3','2','2','3','2',NULL,'Accept','Poster','Yes','<p>title:</p><p>High Impact Communication Strategies..... what is meant by High impact? what specifically were the strategies? &nbsp;High impact looks abstract and does not reflect what was done in this study.&nbsp;</p><p>Background</p><p>Background is too long just like the entire abstract, keep to the gap and objectives for this study in the background.</p><p>The study objectives are confusing... what exactly is the study seeking to achieve? you need to come clear with the objectives</p><p>methods</p><p>too long, summarize the points and focus the design use in this study.</p><p>&nbsp;</p><p>Results&nbsp;</p><p>too long, reduced and focus on the study objectives, as it stands its difficult ti link the results and the objectives&nbsp;</p><p>&nbsp;</p>','2025-03-20 10:13:00','2023-06-04 22:24:53',NULL,146),(789,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','mr','Enock','Kukiriza','male','uganda','ekukiriza@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,'18/04/2022','advanced','non-communicable-diseases-ncds-injuries-and-mental-health','Roy Mayega; Makerere University School of Public Health; rmayega@musph.ac.ug\r\nCissie Namand; Makerere University School of Public Health; snamanda@musph.ac.ug','<p>Prevalence and Factors Associated With Non-Adherence To Diabetes Treatment Among Adult Patients In Care at Jinja Regional Referral Hospital</p>','<p>Diabetes mellitus (DM) is a serious and a rapidly growing public health burden that affects millions of people. It is estimated that 27-37% of diabetes patients that are receiving care at Jinja Regional Referral Hospital (JRRH) experience diabetes complication like Neuropathy, retinopathy, diabetes foot and ulcers (ref-clinic records), and this could be attributed to non-adherence to drugs. This study determined the prevalence and factors associated with non-adherence to diabetes treatment among adult patients in care at Jinja Regional Referral Hospital, in order to inform interventions aimed at addressing this problem.</p>','<p>A hospital-based cross-sectional study was conducted at Jinja Regional Referral Hospital among 297 adult patients in care. These were selected by systematic, purposive and convenience sampling methods. Quantitative and qualitative approaches of data collection and analysis were employed. Data analysis was done using a statistical software package (SPSS-16). Prevalence Ratios (PRs) were used to report the association between non-adherence to diabetes treatment and the independent factors.</p>','<p>More than half (51.2%) of diabetes adult patients in care were non-adhering to diabetes treatment. Non-adherence was 0.3 times higher in male patients compared to females [APR 0.32, 95%CI (0.08–0.55), P=0.008]: Patients diagnosed with type two diabetes were 0.15 times less likely to be non-adhering compared to those diagnosed with type one diabetes [APR -.15, 95%CI (-.38–0.08), P=0.004]. Patients who don’t find difficulties in consulting healthcare providers were 0.26 times less likely to be non-adhering compared to those who find difficulty in consulting healthcare providers [APR -.26, 95%CI (-.48– -.04), P=0.022]. the likelihood of non-adhering to treatment was 0.45 high among Patients who wait for the drug availability at the hospital compared to those who endeavor to buy their own drugs in times of shortage[APR 0.45, 95%CI (0.06–0.82), P=0.023]. Non adherence to treatment was also associated with patients’ long waiting time in the hospital were [APR 0.25, 95%CI (-.47– 0.40),</p>','<p>Non-adherence to diabetes treatment existed among adult patients in care at JRRH. Increasing on the number of healthcare professionals at the health facility will not only reduce on the patients’ overload and long waiting time, but also encourages them to maintain their appointments, and therefore be able to adhere to diabetes treatment.</p>','<p>Diabetes; Treatment; non adherence; Uganda</p>','3','3','2','2','0','3',NULL,'Accept','Poster','Yes','<p><strong>Background</strong></p><p>Diabetes mellitus (DM) is a serious and a rapidly growing public health burden that affects millions of people. It is estimated that 27-37% of diabetes patients that are receiving care at Jinja Regional Referral Hospital (JRRH) experience diabetes complication like Neuropathy, retinopathy, diabetes foot and ulcers (ref-clinic records).....</p><p>Good background BUT the reference is unacceptable .....</p><p>This was a facility based study and could not have determined prevalence... I suggest we both title and objectives should read .... factors associated with non-adherence .......</p><p>&nbsp;</p><p><strong>Methods</strong></p><p>A hospital-based cross-sectional study was conducted at Jinja Regional Referral Hospital among 297 adult patients in care.&nbsp;</p><p>....................... Considering the study population, disease and setting how suitable is a cross sectional study fitted for this study and could you have employed a different study design?</p><p>These were selected by systematic, purposive and convenience sampling methods..... This is confusing, Take your time and write stepwise, what exactly you did; state study tools, variables collected, sampling process and how variables were analyzed and presented.&nbsp;</p><p>&nbsp;</p><p><strong>Results</strong></p><p>The results is not presented systematically, Kindly provide some summary statistics about the study population; mean or median etc</p><p>Non-adherence was 0.3 times higher in male patients compared to females [APR 0.32, 95%CI (0.08–0.55), P=0.008]: The interpretation of APR of 0.3 as being higher is incorrect and runs through the results</p>','2025-03-21 10:13:00','2023-05-31 08:31:10',NULL,146),(790,'Benedict MuekeMuma','Public Health Officer/Epidemiologist','benedictmuma@gmail.com','mr','Benedict','Muma','male','kenya','benedictmuma@gmail.com','<p>Department of Health Services- Makueni County</p>','other',NULL,NULL,'frontline','one-health-and-climate-change','Justus Osero, Kenyatta University, OSERO.JUSTUS@ku.ac.ke','<p>RISK FACTORS ASSOCIATED WITH THE PREVALENCE OF HELICOBACTER PYLORI AMONG COMMUNITY MEMBERS IN KIBWEZI WEST SUB-COUNTY, MAKUENI COUNTY.</p>','<p>Helicobacter pylori are gram-negative pathogens that live in the digestive tract and are linked to intestinal ulcers, stomach ulcers, chronic gastritis, stomach cancer, and various extra-gastric problems. Close to half of the world\'s populace is afflicted. The principal focus of the investigation sought to establish the extent of Helicobacter pylori infection in Kibwezi West Sub-County and the socioeconomic parameters that drive it.</p>','<p>The study\'s analytic cross-sectional architecture utilized purposeful selection, cluster selection, and simple random sampling strategies. Participants ranged from 18 to 70 years old, and their stool samples (344) were analyzed using the concept of immunochromatography in vitro to determine the antigens of Helicobacter pylori in the stool. At p≤0.05, Chi2 tests were conducted between independent and dependent variables.</p>','<p>A number of 344 residents of Kibwezi West Sub-County were surveyed, with a response rate of 100% (344). The majority of those sampled were aged below 58 years (90.1%, n=310), married (81%, n=280), female (75%, n=259), and practicing Christians (84%, n=288). The Helicobacter pylori test results indicated 32% (n=109) tested positive, with 68% (n=225) returning negative results. The statistical significance of education level (p=0.024), source of drinking water (p=0.001), and diabetic status (p=0.010) was confirmed.</p>','<p>Helicobacter pylori prevalence is lower than reported in most Kenyan studies, including the Kenya health information system for Kibwezi West Sub County in 2020. Infection with Helicobacter pylori was strongly linked to education, drinking water sources, and diabetes. This study proposes several intervention strategies, including screening asymptomatic and healthy individuals for H. pylori for early detection and treatment, collecting water samples from all public water sources, and testing for H. pylori infection and community members to adhere to environmental hygiene and sanitation rules.</p>','<p>Prevalence, Helicobacter pylori</p>','3','2','2','3','2','3',NULL,'Reject','Rejected','Yes',NULL,'2025-03-22 10:13:00','2023-06-05 21:39:17',NULL,190),(795,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','JULIET','ECII','female','uganda','julieteciifaith@gmail.com','<p>Makerere University School of Public Health</p>','other',NULL,'17/02/2023','advanced','communication-and-technological-innovations-for-public-health','Christine Nalwadda, Makerere University School of Public Health, cnalwadda@musph.ac.ug','<p>AWARENESS AND ACCEPTABILITY OF HUMAN BREAST MILK DONATION AND ITS ASSOCIATED FACTORS AMONG MOTHERS IN KAMPALA DISTRICT</p>','<p>Breast milk provides the optimal nutritional needs for growing infants, yet only 66% of the children less than six months receive breast milk which is below the 70% WHO target. Additionally, infant mortality rate is estimated at 33.8 per 1000 live births. Despite research indicating that breast milk can significantly reduce infant morbidity and mortality, it has not been practiced due to various challenges like preterm birth where mothers are not able to produce breast milk immediately. The act of donating breast milk, provides an opportunity for optimal health to infants who unfortunately have no access to breast milk. However, there is a knowledge gap on the awareness and acceptability of breast milk donation and its associated factors among mothers in Kampala District. The objective was to determine awareness and acceptability of human breast milk donation and its associated factors among mothers in Kampala District.</p>','<p>A cross-sectional study was conducted among 230 women of reproductive age (15-49 years) who had ever given birth residing in the Makindye Division and 7 in depth interview was conducted among mothers who had ever donated breast milk at Nsambya Hospital. Study participants were selected through simple random sampling. The data was analysed using STATA 14.0 version.</p>','<p>Out of the 230 participants interviewed 64% were aware of HBMD and 24% accepted to donate breast milk. The factors that were associated with HBMD were religion and attitude.</p>','<p>The level of awareness was moderately high, and acceptability of HBMD was very low among mother in Kampala. Religion and attitude were the only factors associated with HBMD. Therefore, Ministry of health should focus on designing programs to create awareness and beliefs associated with religion and attitude among mothers and the community at large.</p>','<p>HUMAN BREAST MILK DONATION AMONG MOTHERS IN KAMPALA DISTRICT</p>','2','2','1','2','4','2',NULL,'Reject','Rejected','Yes','<p><strong>Background</strong></p><p>Breast milk provides the optimal nutritional needs for growing infants, yet only 66% of the children less than six months receive breast milk which is below the 70% WHO target. Additionally, infant mortality rate is estimated at 33.8 per 1000 live births. Despite research indicating that breast milk can significantly reduce infant morbidity and mortality, it has not been practiced due to various challenges like preterm birth where mothers are not able to produce breast milk immediately. The act of donating breast milk, provides an opportunity for optimal health to infants who unfortunately have no access to breast milk. However, there is a knowledge gap on the awareness and acceptability of breast milk donation and its associated factors among mothers in Kampala District. The objective was to determine awareness and acceptability of human breast milk donation and its associated factors among mothers in Kampala District.</p><p>Background is too long, please focus the background.</p><p>Kindly rephrase the study objective...How do you intend to determine awareness?&nbsp;</p><p><strong>Methods</strong></p><p>Good study design, but what data was collected and how did you analyze them?&nbsp;</p><p>How was \"awareness and acceptability of human breast milk donation\" defined or measured?&nbsp;</p><p><strong>Results</strong></p><p>Out of the 230 participants interviewed 64% were aware of HBMD and 24% accepted to donate breast milk. The factors that were associated with HBMD were religion and attitude.</p><p>&nbsp;</p><p>This results is scanty and unacceptable, what were characteristics of the study participants? what was the distribution of awareness in this population, what were the acceptance levels? what independent factors were identified (measurements with 95% CIs)</p><p>&nbsp;</p>','2025-03-23 10:13:00','2023-05-31 08:41:30',NULL,146),(796,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','Annet','Namusisi Mary','female','uganda','ann4christ21@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,NULL,'advanced','maternal-reproductive-and-child-health','Peter Waiswa Makerere University, School of Public Health, pwaiswa@musph.ac.ug','<p>Understanding newborn care practices by mothers in Mukono district- Central Uganda, 2022</p>','<p>Neonatal mortality is persistently high in Uganda stagnating at 27-29 deaths/1000live births. A high neonatal morbidity emanating from inadequate newborn care was responsible for half of the neonatal deaths in central Uganda. We therefore aimed to understand newborn care practices of mothers in Mukono district, in order to guide Mukono district Health office and Ministry of health (MoH) when developing interventions geared at reducing neonatal mortality in the district.</p>','<p>We carried-out a cross-sectional study in 6 health facilities in Mukono district, namely; Mukono general hospital, Goma HCIII, Kojja HCIV, Seeta-Nazigo HCIII, Kasawo HCIII and Nakifuma HCIII. A mother was defined as a woman in her prenatal period or having delivered six months prior to the interview. We interviewed 348 mothers on newborn care using Interviewer administered questionnaires. Descriptive analysis was used to determine maternal knowledge level of newborn care and their practices. Using STATA v.14.0, Prevalence ratios at multivariate analysis were used to determine factors associated with knowledge and practice of newborn care among mothers.</p>','<p>Over all, 348 mothers were enrolled in the research study, with a mean age of 25 years. A majority were married (91.1%), 90.8%, 71.7% and 65.8% attended PNC, ANC and resided in rural areas respectively. Of the 348 mothers, only 22.1% had good knowledge about newborn care while 19.2% practiced good newborn care. Seventeen percent, 63.5%, 33.9%, and 7.2% did not practice good thermal care, cord care, neonatal feeding and eye care practices, respectively. At multivariate analysis, maternal age, residence and marital status were factors associated with newborn care among mothers.</p>','<p>Newborn care among mothers in Mukono district was sub-optimal. Therefore, Mukono district health office and MoH need to intensify neonatal health education during ANC and PNC to all age groups especially young mothers.</p>','<p>Newborn care practices by mothers in Mukono district,Uganda</p>','2','3','3','3','3','3',NULL,'Accept','Oral','Yes','<p><strong>Backgound</strong></p><p>Neonatal mortality is persistently high in Uganda stagnating at 27-29 deaths/1000live births. A high neonatal morbidity emanating from inadequate newborn care.....</p><p>You need to focus on the scientific writing not the English... avoid words such as persistently, emanating, inadequate etc</p><p>&nbsp;</p><p><strong>Methods</strong></p><p>Using STATA v.14.0, Prevalence ratios at multivariate analysis were used to determine factors associated with knowledge and practice of newborn care among mothers.....</p><p>How was knowledge measure? please include</p>','2025-03-24 10:13:00','2023-05-31 08:32:02',NULL,146),(797,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','Carla','Aciro','female','uganda','achirocarla@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,'17/02/2023','advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Fredrick Makumbi, Makerere University, School of Public Health, fmakumbi@musph.ac.ug\r\nSarah Nabukeera, Makerere University, School of Public Health, snabukeera@musph.ac.ug','<p>Social and health system barriers to Antiretroviral Therapy (ART) adherence among adolescents 10-19 years in Differentiated Service Delivery (DSD) models in Tororo District, Eastern Uganda.</p>','<p>Adherence to ART among young people aged 10-19 years remains low in Uganda. Differentiated Service Delivery (DSD) models were introduced to reduce burdens on the already strained health systems and promote community-based approaches in promoting HIV treatment. This study assessed adherence levels, associated factors and explored social and health systems barriers to ART adherence among adolescents in DSD models in Tororo District.</p>','<p>It was a mixed methods study employing quantitative and qualitative approaches. Review of 313 participants files were selected using systematic random sampling, 30 in-depth interviews with adolescents, 15 key informant interviews with health workers in selected health facilities. Modified poisson regression was used for bivariate, multivariate analysis and thematic content analysis for Qualitative data.</p>','<p>Overall, good adherence (≥95%) for all the five DSD models in the selected health facilites in Tororo District was optimal at 88.5%(CI 84.4-91.6), good adherence was universal (100%) for the three models Fast Track Drug Refill (FTDR), Community Drug Distribution Point (CDDP) and Community Client-Led ART Distribution. Poor adherence was found at 11.5%(CI 8.4-15.6) in Facility Based Individual Management (FBIM) and Facility Based Group Management (FBG). There was an association between adherence to ART and age, facility location, health status, ART regimen, and availability of treatment assistant. Adherence was significantly lower among participants aged 15-17 years cPR:0.94(0.85-0.98) and those on ABC/3TC/DTG treatment cPR: 0.81(0.67-0.97). Barriers included; stigma, discrimination, transport costs and distance to the facility. The health system barriers included; limited follow-up from the facility, long waiting hours, healthworker knowledge and training</p>','<p>Optimal adherence levels were found to be high in less intensive DSD models and low in client-dense models of FBG and FBIM. The social and health system barriers mentioned can be addressed and modified in enhancing better adherence levels among adolescents in the affected models at both health facility and community level.</p>','<p>Antiretroviral Therapy (ART) adherence among adolescents in Differentiated Service Delivery (DSD) models in Eastern Uganda</p>','3','1','2','3','3','3',NULL,'Accept','Poster','Yes','<p>Background</p><p>Differentiated Service Delivery (DSD) , you need to provide some background of this service to the reader!</p><p>What are the differences in this context between associated factors and barriers?&nbsp;</p><p>&nbsp;</p><p>Methods</p><p>It was a mixed methods study employing quantitative and qualitative approaches. Review of 313 participants files were selected using systematic random sampling, 30 in-depth interviews with adolescents, 15 key informant interviews with health workers in selected health facilities. Modified poisson regression was used for bivariate, multivariate analysis and thematic content analysis for Qualitative data</p><p>&nbsp;</p><p>There is no study design, study site, study population mentioned and study tool used. we need to know the variables collected as possible social and health systems barriers . Analysis can be improved to how &nbsp;exactly the variables were analyzed and presented. How was adherence defined? we are seeing good adherence in results, how did you come by good adherence?&nbsp;</p><p>&nbsp;</p><p>Results</p><p>Overall, good adherence (≥95%) for all the five DSD models in the selected health facilites</p><p>&nbsp;</p><p>Do you mean facilities?</p><p>&nbsp;</p><p>conclusion</p><p>The authors recommendation is not targeted, who should do these modifications?&nbsp;</p>','2025-03-25 10:13:00','2023-05-29 06:49:17',NULL,146),(798,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','Samantha','Asiima','female','uganda','asiimasama@yahoo.com','<p>Makerere University School of Public Health</p>','alumni',NULL,'17/02/2023','advanced','non-communicable-diseases-ncds-injuries-and-mental-health','Fred Nuwaha, Makerere University school of Public Health, fnuwaha@musph.ac.ug\r\nDoreen Tuhebwe, Makerere University School of Public Health, dtuhebwe@musph.ac.ug','<p>Psychosocial well-being of adolescents during Covid-19 lockdowns in Kahoora Division of Hoima District</p>','<p>In Uganda, thousands of adolescents were forced to stay home during the COVID-19 lockdowns. However, it is not known how their psycho-social well-being was affected by the lockdown. The present study assessed the psycho-social wellbeing of adolescents during COVID-19 lockdowns in Kahoora division of Hoima district.</p>','<p>In a cross sectional survey, 571 adolescents responded to an interviewer administered questionnaire adapted from the modified kids screen health questionnaire for children and young people. PSW was assessed by combining scores regarding feelings, physical activity, and general mood during the two lockdowns. To identify factors influencing PSW, those with higher scores (above the mean were compared with those below the mean on demographic characteristics, social economic situation, circumstances surrounding family and home life, relationship with friends as well as on coping strategies using bivariable and multivariable modified poison regression analysis.</p>','<p>Of the 571 adolescents that participated in the study, 355(62.2%) were female and the mean age was 15.96 years (SD=2.19). Of these, 46.6% (266/571), 95% CI: [42.5%-50.7%] of the respondents were psychosocially well during either or all of the COVID 19 lockdowns in Uganda. Older age adolescents residing in the central ward, and having a child during lock down were negative predictors of PSW. Whereas spiritual support from family members, favorable environment, having parents staying together during the lock down, spending time with friends and having time for oneself were positive predictors of psychosocial wellbeing. The coping strategies included speaking out their grievances, reporting any form of abuse done to them to any person who could help, getting what to do to avoid boredom at home, and learning to control their emotions during lockdown.</p>','<p>The prevalence of PSW was low during the COVID-19 lockdowns hence showing need for policies formulated to support adolescents in future situations like COVID-19 lockdowns.</p>','<p>Psycho-social well-being of adolescents during Covid-19 lock downs</p>','2','2','2','3','2','2',NULL,'Reject','Rejected','Yes','<p><strong>Background: </strong>The public health significance is not well described and PSW could have been abbreviated when used for the first time.</p><p><strong>Methods:</strong> the outcome variable is not defined, how was PSW assessed? how do we determine whether PSW there was positively affected or negatively affected? How do we define \"PSW well\"? &nbsp;</p><p><strong>Result and conclusion:</strong> The conclusion on the low prevalence of PSW is not supported by the results, and low prevalence compared with what? &nbsp;</p>','2025-03-26 10:13:00','2023-05-14 22:47:59',NULL,91),(799,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','Agnes','Kisakye','female','uganda','aggiemavis38@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,'17/02/2023','advanced','non-communicable-diseases-ncds-injuries-and-mental-health','Adoke Yeka, Makerere University School of Public Health, yadoke@musph.ac.ug','<p>Factors associated with delay in seeking treatment for acute bleeding among haemophiliacs at hemophilia treatment centers in Uganda</p>','<p>Haemophilia is associated with a high tendency of acute bleeding episodes which can lead to severe morbidity and mortality in the absence of prompt care. Patients often delay seeking care leading to adverse outcomes. This study set out to determine the extent and factors associated with delays in seeking treatment for acute bleeding among haemophiliacs receiving treatment at five treatment centres.</p>','<p>The study was conducted in five haemophilia treatment centres across Uganda using a cross-sectional study design. A total of 224 haemophilia cases with acute bleeding episodes seeking care at the treatment centres were consecutively sampled. The health workers were purposively selected and data were collected using Key Informant Interviews. The quantitative data were analysed using STATA version 16 while qualitative data were manually analyzed using the inductive thematic analysis to generate codes, categories, sub-themes and themes. Multivariate modified Poisson regression analysis was used to determine factors associated with delay to seeking treatment at HTC.</p>','<p>Time taken following an acute bleeding symptom to the HTC ranged between 1 and 65 hours with a median of 9 hours. Patients were more likely to delay seeking treatment for acute bleeding episodes if they used public means of transport to the HTC (aPR 1.39; 95% CI 1.22-1.59). Patients who took immediate other actions on recognition of a sign of an acute bleeding episode were less likely to delay seeking for treatment at the HTC (aPR 0.75; 95% CI 0.66-0.84).</p>','<p>There was substantially a long period of delay (9 hours) to seek treatment among patients seeking treatment at the respective HTCs compared to the recommended time of 2 hours. There is a need for targeted intervention to promote early seeking of treatment, with special attention to patients who live in rural areas and those with crippling physical disabilities.</p>','<p>Haemophilia, acute bleeding, delay, Haemophilia Treatment Centres</p>','2','3','4','2','3','3',NULL,'Reject','Rejected','Yes','<p>The public health significance is not well justified.</p>','2025-03-27 10:13:00','2023-05-14 23:09:13',NULL,91),(800,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','mr','Henry','Kiiza','male','uganda','heniskyza@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,'17/02/2023','advanced','maternal-reproductive-and-child-health','Gertrude Namazzi, Makerere University, School of Public Health, gnamazzi@musph.ac.ug','<p>Factors Associated with Depression Symptoms among pregnant Adolescent Girls and Young Women at Kawempe National Referral Hospital, Uganda</p>','<p>Depression symptoms are a prevalent mental health problem that occurs during pregnancy, affecting about one in four women worldwide. It is a public health concern, yet often undiagnosed and untreated. Persistent physical and psychosocial stress during pregnancy negatively impacts pregnancy outcomes and childhood development. Objectives: To determine the prevalence and factors associated with depression symptoms among pregnant adolescent girls and young women (AGYW) attending antenatal clinics.</p>','<p>A cross-sectional study was conducted at Kawempe National Referral Hospital, Kampala antenatal clinics for a period of two months. Quantitative study approaches were employed among pregnant women aged 15 – 24 years. PHQ-9 questionnaire was used to measure depression symptoms; a score of ≥8 indicated depression symptoms. A total of 366 participants, were selected using Systematic random sampling. Multivariate modified Poisson regression analysis was used to determine associated factors at p-value &lt; 0.05.</p>','<p>The prevalence of depression symptoms was 19.1% and factors associated include; gravidity ≥ 3 (PrR 1.9, 95% CI [1.19-3.32]), low partner support (PrR 2.2, 95% CI [1.27-3.98]), Intimate Partner Violence (IPV) (PrR 2.8, 95% CI [1.55-4.93]) and having suffered from subjective COVID-19 symptoms (PrR 2.3, 95% CI [1.37-3.89]). The prevalence rate of depression symptoms was lower among pregnant AGYW house-wives and those self-employed compared to those in formal employment (PrR 0.5, 95% CI [0.26-0.87]) and (PrR 0.4, 95% CI [0.21-0.80]) respectively.</p>','<p>Depression symptoms are common among pregnant AGYW attending antenatal clinics; and being self-employed or a house wife was found to be protective. The factors that were significantly associated with depression symptoms among pregnant AGYW included; being pregnant for the third or more times, Low partner support, experiencing IPV and history of subjective symptoms of COVID-19.</p>','<p>Depression Symptoms among pregnant Adolescent Girls and Young Women</p>','3','3','3','3','3','3',NULL,'Accept','Oral','Yes',NULL,'2025-03-28 10:13:00','2023-05-30 17:05:39',NULL,207),(801,'Delia A B Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','ms','Jennifer','Nai-Dowetin','female','ghana','naidowetin@gmail.com','<p>Ghana Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,'15/12/2022','intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','G. Akowuah| Ghana Field Epidemiology and Laboratory Training Programme | cirjorge@gmail.com  \r\nS Sackey | Ghana Field Epidemiology and Laboratory Training Programme |sackey492003@yahoo.co.uk\r\nM Odikro | Ghana Field Epidemiology and Laboratory Training Programme | odikrom@gmail.com\r\nE Kenu | Ghana Field Epidemiology and Laboratory Training Programme | Ernest_kenu@yahoo.com','<p>Descriptive Epidemiology of COVID-19 - Ayawaso West Municipal, Greater Accra, 2022</p>','<p>As of February 2022, over 56,900 cases resulting in 1,400 deaths had been confirmed in Ghana. Due to the novelty of COVID-19, little is known about the epidemiology of the disease in the Ghanaian context. With increasing morbidity and mortality, it is important to conduct a study to determine the distribution of disease in the population. We therefore established the incidence and distribution of COVID-19 in Ayawaso West Municipality in the Greater Accra Region to inform policy direction.</p>','<p>We performed a secondary analysis using COVID-19 surveillance data obtained from the district line list from March 2020 – November 2021. We used Microsoft Excel 365 in data cleaning and analysis. The age, sex, geographical, monthly distributions, occupation, outcome of lab results, and outcome of infection of cases were expressed as frequencies, proportions and rates using Epi info 7.</p>','<p>A total of 8,502 cases were recorded from the year 2020 to 2021. The incidence rate over the period was 1129 cases per 10,000 population with a case fatality rate of 0.53% (45/8,502). The incidence for the year 2020 was 812.4 cases per 10,000 population. Higher proportion 57.3% (2,252/3,931) of cases were among age group 25 to 44 years. The majority of cases were recorded among males 59.7% (4,667/8,502). Trends revealed high incidence of cases in the 1st and 2nd quarters of the year with peaks following festive seasons. More than two-thirds (76.8%) of cases were inhabitants of the Ayawaso West Municipality.</p>','<p>Cases recorded were mostly among age group between 25-44 and among the males. The trend of cases tends to increase after festive occasions. About one-third of cases were residents of other districts. It is recommended that continuous adherence to COVID-19 protocols, active contact tracing and mandatory vaccination should be strictly enforced as this can help control the pandemic.</p>','<p>Coronavirus, SARS-CoV-2, epidemiology, Ayawaso West, Ghana</p>','3','4','3','3','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-03-29 10:13:00','2023-05-29 09:44:05',NULL,59),(802,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','prof','Margaret','Lartey','female','ghana','mlartey@ug.edu.gh','<p>University of Ghana Medical School</p>','other',NULL,NULL,'NA','hiv-aids-tuberculosis-and-other-opportunistic-infections','V Ganu | Korle Bu Teaching Hospital | vincentjganu@gmail.com \r\nK Torpey | University of Ghana, School of Public Health | ktorpey@hotmail.com\r\nS Ayisi Addo | National AIDS/STI Control Programme | saddo@nacpghana.org\r\nJ Nai-Dowetin | University of Ghana, School of Public Health | jaidowetin@yahoo.com \r\nE Kenu | University of Ghana, School of Public Health | Ernest_kenu@yahoo.com','<p>C-Reactive Protein Levels in Patients Initiating Dolutegravir Based Antiretroviral Regimen in Ghana</p>','<p>C-reactive protein (CRP) is an important indicator of inflammatory conditions and increased risk for cardiovascular disease. The association between CRP and HIV is still uncertain. This study describes the longitudinal evaluation of plasma CRP in patients initiated on dolutegravir (DTG) based antiretroviral regimen.</p>','<p>A prospective multi-center observational cohort study was conducted among PLHIV in Ghana from August 2020 to September 2022. We recruited newly diagnosed and known HIV-positive patients being initiated on DTG based regimen and followed each up for 18-months. Normal CRP levels was defined as less than 0.3mg/dl. Person-time and incidence rate (IR) were estimated using “stptime” function in STATA. Cox proportional hazard model with robust standard error was employed.</p>','<p>Out of 2700 patients recruited, 73.4% were female. Participants mean age was 46.5 ± 11.8 years. Estimated total person-months of DTG exposure was 28152 with overall incidence rate (IR) of high CRP levels being 23.7 (95% CI: 21.9-25.5) per 1000 person-months. CRP levels IR at 3, 6 &amp; 12 months were 171.4 (95% CI: 150.1-195.8), 117.9 (95% CI: 107-130) and 66.1 (95% CI: 60.9-71.8) per 1000 person-months respectively. The IR of CRP among males 23.2 (95% CI: 20.0 – 26.9) per 1000 person-months was similar to that of females 23.8 (95% CI: 21.8 – 26.0) per 1000 person-months. The IR of CRP among ART naive patients 34.8 (95% CI: 26.7 – 45.3) was higher compared to that among those previously on ART 23.0 (95% CI: 21.2-24.9). Presence of comorbid conditions was associated with 2.35 (95% CI: 1.1-1.3) times higher risk of developing high CRP levels.</p>','<p>The cumulative incidence of increased CRP levels was 23.7 (95% CI: 21.9-25.5) per 1000 person-months. Patients who were ART naïve or had co-morbid condition were at higher risk of high CRP levels increasing their risk of cardiovascular disease.</p>','<p>C-Reactive Protein, Dolutegravir, Antiretroviral Regimen, Cardiovascular disease</p>','4','4','3','3','4','3',NULL,'Accept','Oral','Yes',NULL,'2025-03-30 10:13:00','2023-05-29 09:44:49',NULL,59),(803,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mrs','Carlota Martinho','Sá','female','ghana','cileyde@yahoo.com','<p>Ghana Field Epidemiology Laboratory Training Programme</p>','alumni',NULL,'15/12/2022','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Alberto Luís Papiqui | GuineaBissau Field Epidemiology Training Program\r\nPaul Henry Dsane-Aidoo | Ghana Field Epidemiology &amp;amp; Laboratory Training Program | dsaneaidoo@gmail.com \r\nSamuel O. Sackey | Ghana Field Epidemiology &amp;amp; Laboratory Training Program | sackey492003@yahoo.co.uk','<p>Investigation of Measles Deaths, Dandum Sanitary Area, Gabu Region-Guinea Bissau, 2022</p>','<p>On March 17 2022, there were media reports of multiple deaths of unknown cause among children in the Dandrum Sanitary Area (DSA). Affected children were reported to have had a febrile and rash. The National Institute of Health (INASA/CESC) was notified. We investigated the incident to identify the cause to implement control measures.</p>','<p>A cross-sectional design was used within affected villages in DSA. We interviewed guardians of deceased, health staff, reviewed clinical notes of reported deaths, and interviewed. A suspected case was defined as any child with either fever, cough, coryza and conjunctivitis, with maculopapular rash in DSA from March 04-19 2022. We searched for suspected cases in the community, took their blood samples for testing, and generated a line-list of socio-demographic variables, symptoms, laboratory results and measles vaccination status. We conducted descriptive analysis and estimated proportions.</p>','<p>Forty-six suspected measles cases were identified in four villages in DSA, of which 58.7% (27/46) were females. Median age was 14 months (range=11-54). Overall case fatality rate (CFR) was 33% (4/46). Sex-specific CFR was 22.2% (6/27) for females. Place-specific CFR was highest in Misside Busra 50% (2/4). Test positivity rate was 65% (26/40). Mortalities occurred between March 16th and 19th 2022 before outbreak investigation commenced. Only 8.7% (4/46) of affected children had received measles vaccination. Rash, fever and cough were symptoms reported among all suspected cases.</p>','<p>Measles was the cause of the unknown deaths in the DSA. There was low vaccination uptake among affected children. We conducted measles mop-up vaccination for children under 5 years in the community and educated community members on measles.</p>','<p>Measles, vaccination, Guinea-Bissau</p>','3','3','2','2','3','3',NULL,'Accept','Oral','Yes',NULL,'2025-03-31 10:13:00','2023-05-29 09:48:25',NULL,59),(804,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','BISMARK KWASI','DARTEY','male','ghana','bisdart@gmail.com','<p>Ghana Health Service</p>','alumni',NULL,NULL,'frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Alex Peprah | Catholic University College of Ghana, Fiapre /Sunyani | akpeprah@yahoo.co.uk\r\nRobert Kwaku Bio | Ghana Health Service | robertkwakubio@gmail.com\r\nKofi Amo-Kodieh | Ghana Health Service | dramokodieh@gmail.com\r\nPriscilia Nortey | University of Ghana SPH, Legon | panortey@gmail.com','<p>Trend analysis of meningitis cases and respiratory tract infections in Jaman North District, Bono Region, Ghana, 2020</p>','<p>Since the 2016 meningitis outbreak in Jama North District, Ghana, the district records cases annually. Respiratory Tract Infections (RTIs) on the other hand remains one of the top-ten OPD attendances since 2015. The district observed increase in RTIs signs and symptoms such as fever, headache, cough and sneezing around meningitis periods. An analysis was conducted to assess the trends of the two diseases and any possible links.</p>','<p>A descriptive study using secondary data from meningitis and RTI from 2016 to 2019 was conducted. Data compilation sheets were developed and used to retrieve data from case-based forms, line list, patient folders and DHIMS2 software for the period. Descriptive statistics and chi-square were used to analyze the data and associations were considered significant at a level of 5%. Data was presented in graphs and tables.</p>','<p>From 2016 to 2019, there were 956,463 OPD attendants. Out of this, 16.6% (159,159/956,463) RTI cases and 0.05% (457/956463) meningitis cases were recorded. The highest number of meningitis cases were seen in the first quarters 93.2% (426/ 457) whiles the highest number of RTIs cases 22.6% (35,945/159159) were recorded in the fourth quarters throughout the five years. The study also identified significant association between RTI and Meningitis cases with a p-value of 0.002</p>','<p>A high number of RTIs were recorded in the fourth quarters throughout the five-years prior to increasing meningitis cases in the first quarters. This finding could suggest that, increase in RTIs is linked to outbreaks of meningitis. Findings informed intensification of surveillance on meningitis whenever RTI cases increase in the district.</p>','<p>meningitis, respiratory tract infection (RTI), surveillance</p>','3','3','2','3','4','3',NULL,'Accept','Poster','Yes',NULL,'2025-04-01 10:13:00','2023-05-31 05:40:39',NULL,71),(805,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','Issac','Baffoe-Nyarko','male','ghana','banyark@yahoo.co.uk','<p>Ghana Field Epidemiology and Laboratory Training Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','C. Tamal | World Health Organisation| tamalc@who.int\r\nC.L. Noora | Ghana Field Epidemiology and Laboratory Training Program| nooralwanga@gmail.com\r\nD. Ameme | Ghana Field Epidemiology and Laboratory Training Program | amemedonne@yahoo.com\r\nE. Kenu | Ghana Field Epidemiology and Laboratory Training Program | c.appiah282@gmail.com \r\nP.C. Appiah | Ghana Field Epidemiology and Laboratory Training Program | ernest_kenu@yahoo.com\r\nS. Baffoe | Ghana Field Epidemiology and Laboratory Training Program | slavebaffoe@gmail.com\r\nT.T. Aphour | Ghana Field Epidemiology and Laboratory Training Program | thelmaaphour@gmail.com','<p>Malaria surveillance data analysis in the Kintampo North Municipality, Bono East Region, Ghana, 2023</p>','<p>Malaria is the leading cause of illnesses and deaths in children under 5 years in many tropical countries. Ghana ranked 12th of the 43 countries in the WHO African Region reporting malaria cases in 2021. We determined the prevalence and distribution of malaria in the Kintampo North Municipality of the Bono East Region to inform malaria intervention decisions.</p>','<p>We extracted data from District Health Information Management System for the period 2018-2022 into Microsoft Excel 2019. Variables extracted included malaria cases and types, testing and positivity rates and IPT coverage. Data were analysed as frequencies and proportions. We constructed CUSUM2 threshold to determine missed outbreaks.</p>','<p>From 2018 to 2022, the Kintampo North Municipality recorded 491,936 uncomplicated suspected cases of malaria. Testing was done for 97.3% (478,445/491,936) of which 40.0% (191,343/478,445) were confirmed positive by microscopy and RDT. The district accounted for 14.7% (491,936/3,346,055) of all uncomplicated suspected malaria cases and 11.4% (191,343/1,679,806) of all positive malaria cases from 2018-2022 in the Bono East Region. OPD Malaria cases per 1,000 population ranged from 229 in 2021 to 460 in 2019 with average suspected monthly uncomplicated malaria were 7,535 (SD ± 2,753 cases). Malaria in children under five accounted for 26.8% (128,408/491,936) of OPD malaria cases with an overall positivity rate of 31.5% (60,366/191,343). IPT1 coverage declined from 97.3% in 2018 to 63.7% in 2022. Positivity rate was 49.7% (5,689/11,437) for all suspected malaria in pregnancy. The epidemic threshold using CUSUM2 was crossed five times within the review period.</p>','<p>Malaria is endemic in the Kintampo North Municipality with relative declining trend observed for malaria cases over the period. Five epidemics were missed with decline in IPT1 coverage. We oriented district staff on malaria case definition use, monitoring of CUSUM2 thresholds and facilitated discussions on improving IPT dropout rate.</p>','<p>Malaria, data analysis, holoendemic, under 5, IPT, Kintampo North, Bono East</p>','4','4','4','4','5','4',NULL,'Accept','Oral','Yes',NULL,'2025-04-02 10:13:00','2023-05-31 05:44:30',NULL,71),(806,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','Mawuli','Gohoho','male','ghana','mawuli.gohoho@ghs.gov.gh','<p>Ghana Field Epidemiology and Laboratory Training Programme</p>','alumni',NULL,NULL,'frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','S.A. Bosoka | University of Health and Allied Sciences, Fred N. Binka School of Public Health, Hohoe, Ghana | samuelbosoka@gmail.com \r\nC.A. Gohoho | Ghana Health Service, Volta Regional Health Directorate, Ho, Ghana | christiangohoho@gmail.com \r\nI. Annobil | Ghana Health Service, Jasikan Municipal Health Directorate, Jasikan, Ghana | annobillina84@gmail.com \r\nR. Wurapa | Ghana Health Service, Biakoye District Health Directorate, Nkonya-Ahenkro, Ghana| ritawurapa@yahoo.com\r\nE.A. Osman | Ghana Health Service, Akwapim South Municipal Health Directorate, Aburi, Ghana| akoslim@yahoo.com\r\nN.O. Ensaw | Ghana Health Service, Akwapim North Municipal Health Directorate, Mampong, Ghana| nanaensaw@yahoo.com\r\nA. Ankuvie | Ghana Health Service, Okere District Health Directorate, Dawu, Ghana| austankuvi@yahoo.com\r\nF.Y. Aku | University of Health and Allied Sciences, Fred N. Binka School of Public Health, Hohoe, Ghana | fortressfay@yahoo.com\r\nL. Asem | University of Health and Allied Sciences, Fred N. Binka School of Public Health, Hohoe, Ghana | asemkal@yahoo.com\r\nN.K. Kotey | Ghana Health Service, National Buruli Ulcer Control Programme, Korle-Bu, Ghana | nana.konama@yahoo.com\r\nJ. O. Gyapong | University of Health and Allied Sciences, Fred N. Binka School of Public Health, Hohoe, Ghana | jgyapong@uhas.edu.gh','<p>Spatial Distribution and Risk Factors associated with Buruli Ulcer Disease in Four Endemic Districts in Ghana, 2022</p>','<p>Despite a national decline in the incidence of Buruli ulcer disease (BUD) from 630 cases in 2018 to 52 cases in 2021, BUD continues to pose a significant public health challenge in Ghana. We investigated the spatial distribution and risk factors associated with BUD in four endemic districts of Ghana.</p>','<p>We conducted spatial analysis and a community-based matched case-control study in Akwapim North-Okere (AKN-O), Akwapim South (AKS), Jasikan (JAS), and Biakoye (BIA) districts from July 2021 to March 2022. We performed an average nearest neighbor analysis and established a 1000m buffer around 263 extracted BUD records from 2017 to 2020. We estimated sample size of 70 cases, sampled them using a systematic random sampling, and matched them to 140 community controls by age, sex, and residence. Structured questionnaire on socio-demographic, behavioral, environmental, water-related, health, and injury management factors was administered. We used a conditional multivariate logistic regression to determine BUD risk factors.</p>','<p>BUD cases were significantly clustered in AKN-O-AKS (NNR: 0.34, Z-score: -17.2, p-value &lt;0.01) and JAS-BIA (NNR: 0.37, Z-score: -10.5, p-value &lt;0.01) geographical areas, with a higher proportion of cases in JAS-BIA area (30.7%; 23/75) within 1000m buffer around rivers/streams compared to the AKN-O-AKS area (8.5%; 16/188). Farming with less protective clothing (aOR=3.64, 95%CI=1.30-10.18) and presence of river/stream in an individual’s immediate environment (aOR=4.22, 95%CI=1.50-11.84) increased BUD risk. In contrast, being married (aOR=0.30, 95%CI=0.13-0.68), managing injuries with soap and water (aOR=0.26, 95%CI=0.08-0.91), and alcohol (aOR=0.15, 95%CI=0.03-0.67) reduced BUD risk.</p>','<p>BUD cases are clustered with farming with less protective clothing and residing in close proximity to water bodies were risk factors, whereas being married, injury management with soap and water, and alcohol were protective factors. Use of protective clothing during farming and proper injury management were promoted to help in the control of BUD.</p>','<p>Spatial analysis, Injury management, Protective clothing, Endemic, Buruli ulcer, Ghana</p>','4','3','3','3','4','3',NULL,'Accept','Poster','Yes',NULL,'2025-04-03 10:13:00','2023-05-31 05:48:58',NULL,71),(807,'Dr Seogo Pedwindé Hamadou','Mauritania FETP','hseogo@afenet.net','dr','Mohamed','Saleck Amar','male','mauritania','meitty71@yahoo.fr','<p>Délégation Régionale de l’Elevage dans la Région du Tagant, Mauritanie, Programme de formation en épidémiologie de terrain de Mauritanie</p>','alumni',NULL,'15/09/2022','frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','1.	Navaa Abd El Wehab, Office National de Recherches et de Développement de l’Elevage et de Pastoralisme (ONARDEP), Programme de formation en épidémiologie de terrain de Mauritanie wehab.nava@gmail.com \r\n2.	Yahya Barry, Office National de Recherches et de Développement de l’Elevage et de Pastoralisme (ONARDEP), barryyahya07@gmail.com,\r\n3.	Ahmed Bezeid EL Mamy BEYATT, REDISSE, Institut Supérieur d’Enseignement Technologique de Rosso, bezeid07@yahoo.fr\r\n4.	Doumbia Baba, Direction des services vétérinaires, Ministère de l’Elevage demba.db@gmail.com\r\n5.	Ba Hamet Abderahmane, Programme de formation en épidémiologie de terrain de Mauritanie, Ministère de la santé de Mauritanie , hametba18@gmail.com\r\n6.	Assane Hamadi, Programme de formation en épidémiologie de terrain de Mauritanie, African Field Epidemiology training Network, simpassane@yahoo.fr\r\n7.	Pedwindé Hamadou Seogo, Programme de formation en épidémiologie de terrain de Mauritanie, African Field Epidemiology training Network, seogoph@gmail.com','<p>Profil Epidémiologique de Fièvre de la Vallée du Rift chez les animaux, en Mauritanie, Août 2022</p>','<p>La fièvre de la Vallée du Rift (FVR) est une zoonose virale émergente touchant les animaux et l\'homme. Elle est transmise par les moustiques avec de graves répercussions négatives sur la santé humaine, animale et sur l\'économie. Le virus responsable de la FVR appartient au genre Phlebovirus, de la famille des Bunyaviridae, la FVR est endémique en Mauritanie. L’objectif était d’étudier le profil épidémiologique de la FVR en Mauritanie d’août à octobre 2022.</p>','<p>Nous avons mené une étude descriptive dont tous les échantillons suspects de la FVR étaient analysés par les techniques d’Elisa et PCR entre août à octobre 2022 à L’Office National de Recherches et de Développement de l’Elevage et de Pastoralisme (ONARDEP, l\'analyse et le traitement ont été effectuées à l’aide de l’Epi Info 7 et Excel.</p>','<p>Durant la période d’août à octobre 2022, 1541 prélèvements animaux suspects ont été reçu au laboratoire de ONARDEP de Mauritanie dont 900 (58,0%) petits ruminants, 494 (32,0%) Camelins, 134 (8,9%) bovins, 7 (0,6%) Equine et 6 (0,5%) Antilopes. Parmi ces cas, 256 cas sont révélés positifs (16.36%) Parmi les 1541 prélèvements, 256 s’étaient révélés positif à la FVR. Les males représentaient 186 (72,6 %) soit un sexe ratio (M/F) de 2.65. La tranche d’âge de (5-7ans) étaient la plus touchée. Les régions Hodh Gharbi 481cas (27.33%), Guidimagha 190 cas (16.85%) et Grogol 139 cas (12.57 %) étaient les plus touchées. La semaine 35 de l’année 2022 avait enregistré le plus de cas 512 (33%).</p>','<p>La FVR reste endémique en Mauritanie, touche les petits ruminant et les camelins surtout dans les régions de Hodh Gharbi et Guidimagha. Une étude plus poussée sur la FVR permettrait d’identifier les facteurs de risque à Mauritanie.</p>','<p>Fièvre Vallée du Rift, FETP, One Heath, Région du Tagant, ONARDEP, Mauritanie</p>','4','3','0','4','4','4',NULL,'Accept','Oral','Yes',NULL,'2025-04-04 10:13:00','2023-05-20 12:07:31',NULL,161),(808,'Dr Seogo Pedwindé Hamadou','Djibouti FETP','hseogo@afenet.net','ms','Sahra','Moussa Bouh','female','djibouti','saharamousa62@yahoo.com','<p>Djibouti Field Epidemiology Training Program, Ministry of Health of Djibouti</p>','other','Focal point of Djibouti FETP',NULL,'NA','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','1.	Pedwindé Hamadou Seogo, Djibouti Field Epidemiology Training Program, African Field Epidemiology Network of Djibouti, seogoph@gmail.com\r\n2.	Prosper Ilunga Kelebwe, Djibouti Field Epidemiology Training Program, African Field Epidemiology Network of Djibouti, prosperkelebwe@yahoo.fr\r\n3.	Tatek Anbessie Bogale, African Field Epidemiology Network, btatek@afenet.net\r\n4.	Herbert Kazoora Brian, African Field Epidemiology Network, hkazoora@afenet.net\r\n5.	Houssein Youssouf Darar, Djibouti Field Epidemiology Training Program, Ministry of health, hyusef@gmail.com \r\n6.	Ahmed Robleh Abdilleh, Ministry of health, ahmedrobleh@hotmail.com','<p>Profil épidémiologique des décès maternels à la Maternité de référence Dar-El Hanan, Djibouti, 2012-2019</p>','<p>Les décès maternels (DM) demeurent un problème majeur de santé publique à Djibouti. Le ratio de mortalité maternelle (MM) est passé de 740 pour 100.000 naissances vivantes (NV) en 1990 à 383 en 2015. Ce ratio est resté au-delà de l’objectif de 2015 qui était de 187. L’objectif de cette étude était de déterminer le profil épidémiologique des décès maternels à Dar-El Hanan afin de contribuer à la lutte contre cette tragédie.</p>','<p>Nous avons mené une étude descriptive allant du 1er janvier 2012 au 31 décembre 2019.Nous avons utilisé la définition des cas de l’OMS pour recruter tous les décès survenus à la maternité de référence Dar-El Hanan durant cette période. Les données ont été collectées sur une fiche à partir des comptes rendus d’audits et des dossiers des parturientes par une revue documentaire. L’analyse a été réalisée avec Excel et Epi-info. Des médianes, des proportions, ratios ont été calculés.</p>','<p>Nous avons colligé 151 DM durant notre étude avec 58270. Naissances vivantes soit un ratio MM de 259 pour 100000 NV. L’âge médian était de 28,5 ans (15-46 ans). Les pauci-pares représentaient (50(33,1%)) suivi des nullipare (46 (30,5%)) et des multipares (31(20,5%)). Le mode d’accouchement était la césarienne dans 61(40,4%), suivi de l’accouchement par voie basse (48(31,9%)). Les DM ont eu lieu en salle de réanimation dans (107(70,9%)). Ils s’étaient produits dans (108(71,5%) des cas en post partum, 40 (26,5%) en pré partum et 3 (2,0%) en post abortum. Le DM était dû à des causes directes dans 124(82,3%). Les décès s’étaient produits dans 88(58,5%) durant les heures de gardes. Les DM étaient évitables dans (103 (68,2%)) des cas.</p>','<p>La plupart des DM étaient évitables. Ils se produisaient en majorité durant la période de la garde et en post partum. Nous recommandons une surveillance rigoureuse des femmes en post partum.</p>','<p>Décès maternel, Naissances vivantes, Dar-El Hanan, Djibouti</p>','3','3','3','2','4','3',NULL,'Accept','Oral','Yes','<p>Il devrait avoir une recommandation pour la pauciparité, nullipare qui me semblent majoritaires parmi les DM</p>','2025-04-05 10:13:00','2023-05-17 16:10:27',NULL,221),(810,'Dr Seogo Pedwindé Hamadou','Djibouti FETP','hseogo@afenet.net','mr','Ibiro','Mohamed Hassan','male','djibouti','ibirotamhassan@gmail.com','<p>Djibouti Field Epidemiology Training Program &amp;Ministry of Health of Djibouti</p>','alumni',NULL,'6/7/2022','frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','1.	Abdoulkader Mouhamed Ali, Hôpital Cheiko de Djibouti, Ministry of Health of Djibouti, abdoulkader253@gmail.com\r\n2.	Prosper Ilunga Kelebwe, Djibouti Field Epidemiology Training Program,\r\nAfrican Field Epidemiology Network of Djibouti, prosperkelebwe@yahoo.fr\r\n3.	Sahra Moussa Bouh, Djibouti Field Epidemiology Training Program, Ministry of health, saharamousa62@yahoo.com\r\n4.	Ahmed Robleh Abdilleh, Ministry of health, ahmedrobleh@hotmail.com\r\n5.	Tatek Anbessie Bogale, African Field Epidemiology Network, btatek@afenet.net\r\n6.	Herbert Kazoora Brian, African Field Epidemiology Network, hkazoora@afenet.net\r\n7.	Pedwindé Hamadou Seogo, Djibouti Field Epidemiology Training Program\r\nAfrican Field Epidemiology Network of Djibouti, seogoph@gmail.com\r\n8.	Houssein Youssouf Darar, Djibouti Field Epidemiology Training Program, Ministry of health, hyusef@gmail.com','<p>Investigation de cas de Rougeole à la Polyclinique Arhiba au Quartier 4, Djibouti, Octobre 2022</p>','<p>A la 42ème semaine épidémiologique 2022(17 au 23 octobre), la Polyclinique Arhiba a enregistré son premier cas suspect de rougeole chez un enfant. Le prélèvement effectué s’était révélé positif à la rougeole. Nous avons mené une investigation pour rechercher des cas supplémentaires et prendre des mesures de contrôle.</p>','<p>Nous avons réalisé une étude descriptive du 1er au 31 octobre 2022 au Quartier 4. Un cas suspect était défini comme toute personne avec fièvre et éruptions maculo-papillaires généralisées associées à la toux ou rhume ou conjonctivite pendant la période précitée et un cas confirmé était un cas suspect confirmé par le test d’Elisa ou ayant un lien épidémiologique avec un cas confirmé. Une recherche active a été menée dans la formation sanitaire et la communauté. Les données ont été collectées par la revue documentaire et l’entretien avec un questionnaire. Des médianes, proportions et taux ont été calculés. La couverture vaccinale a été évaluée.</p>','<p>Le cas index était une fille de 3 ans, non vaccinée qui a consulté le 18 octobre 2022 pour fièvre, éruption généralisé, conjonctivite sans notion de voyage. Au total 14 nouveaux cas suspects ont été retrouvés à la recherche active en communauté. Parmi les cas suspects, 9 cas se sont révélés rougeole IgM positifs. Quatre(44%) était de sexe masculin. L’âge moyen était de 16 mois , 67%(6/9) avaient plus d’un an. (44% (4/9) cas étaient non vaccinés. Aucun nouveau cas n\'a été trouvé à la polyclinique. le taux d’attaque était de 2,3 (9/39732) cas pour 100 000 habitants. La couverture vaccinale contre la rougeole de l’aire sanitaire était de 37,8% en 2021.</p>','<p>L’investigation a permis de retrouver de cas supplémentaires de rougeole en communauté touchant plus les enfants non vaccinés. Nous recommandons de redynamiser la surveillance à base communautaire et une vaccination réactive des enfants.</p>','<p>Investigation, Riposte, Rougeole, Polyclinique Arhiba, Quartier 4, Djibouti, 2022</p>','3','3','3','2','3','3',NULL,'Accept','Oral','Yes',NULL,'2025-04-06 10:13:00','2023-05-19 13:02:16',NULL,221),(811,'Dr Seogo Pedwindé Hamadou','Djibouti FETP','hseogo@afenet.net','mr','Ibiro','Mohamed Hassan','male','djibouti','ibirotamhassan@gmail.com','<p>Djibouti Field Epidemiology Training Program, Ministry of Health of Djibouti</p>','alumni',NULL,'6/7/2022','frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','1.	Abdoulkader Mouhamed Ali, Hôpital Cheiko de Djibouti, Ministry of Health of Djibouti, abdoulkader253@gmail.com\r\n2.	Prosper Ilunga Kelebwe, Djibouti Field Epidemiology Training Program,\r\nAfrican Field Epidemiology Network of Djibouti, prosperkelebwe@yahoo.fr\r\n3.	Sahra Moussa Bouh, Djibouti Field Epidemiology Training Program, Ministry of health, saharamousa62@yahoo.com\r\n4.	Ahmed Robleh Abdilleh, Ministry of health, ahmedrobleh@hotmail.com\r\n5.	Tatek Anbessie Bogale, African Field Epidemiology Network, btatek@afenet.net\r\n6.	Herbert Kazoora Brian, African Field Epidemiology Network, hkazoora@afenet.net\r\n7.	Pedwindé Hamadou Seogo, Djibouti Field Epidemiology Training Program\r\nAfrican Field Epidemiology Network of Djibouti, seogoph@gmail.com\r\n8.	Houssein Youssouf Darar, Djibouti Field Epidemiology Training Program, Ministry of health, hyusef@gmail.com','<p>Investigation des cas suspects de paludisme à la Polyclinique Arhiba,Djibouti, Juin 2022</p>','<p>Dans le cadre de notre formation FETP- frontline, nous avons mené une investigation à la polyclinique Arhiba sur tous les cas suspects du paludisme. L’objectif de notre investigation était de déterminer le profil épidémiologique du paludisme dans l’Aire Sanitaire Arhiba et proposer des mesures de prévention et de contrôle.</p>','<p>Nous avons conduit une étude descriptive à la polyclinique Arhiba sur tous les patients fébriles qui avaient consulté la structure sanitaire à la semaine épidémiologique 24 (12 au 18/06/2022). Nous avons utilisé les définitions des cas du guide SMIR pour inclure les participants dans l’étude. Pour la confirmation du diagnostic, un test rapide paludisme était appliqué à chaque participant. Les données ont été collectées par la revue documentaire de registre du laboratoire à l’aide d’une fiche d’investigation et ont été analysées avec Excel. L’âge médian, le ratio et des proportions ont été calculés.</p>','<p>Au total 100 cas suspects ont été investigués pendant la période de l’étude et 64 cas ont été confirmés positifs dont 3 (5%) femmes enceintes. 44/64 (66,6%) cas étaient de sexe masculin. Le sexe ratio (H/F) était de 1,9. L’âge moyen et l’âge médian étaient de 20 ans (9-49 ans). La tranche d’âge de 20-29 ans était la plus représentée (59%). Plus de la moitié de cas (63%) étaient de nationalité Ethiopienne. Parmi les cas, le Plasmodium vivax était détecté dans 87,5% de cas, le P. falciparum dans 10,9% de cas et les deux germes dans 1,5 % de cas.</p>','<p>Le Plasmodium vivax était responsable du paludisme à Arhiba touchant plus les adultes jeunes, surtout les étrangers (migrants). Nous recommandons la sensibilisation de la population et des migrants sur la consultions de la structure sanitaire en cas de fièvre et l’utilisation la moustiquaire imprégnée.</p>','<p>Cas suspects, Investigation, paludisme, Polyclinique Arhiba, Djibouti, Juin 2022</p>','4','4','4','4','4','5',NULL,'Accept','Oral','Yes','<p>This is a good presentation</p>','2025-04-07 10:13:00','2023-06-01 07:55:44',NULL,65),(812,'Dr Seogo Pedwindé Hamadou','Djibouti FETP','hseogo@afenet.net','mr','Ahmed','Said Salem','male','djibouti','ahmedinspd@gmail.com','<p>Djibouti Field Epidemiology Training Program , National Public Health Institute of Djibouti</p>','alumni',NULL,'9/2/2022','frontline','maternal-reproductive-and-child-health','1.	Abdourhaman Djama Guedi, Institut National de Santé Publique, Djibouti Field Epidemiology Training Program, abdirahosdjama@gmail.com\r\n2.	Ali Youssouf Mohamoud, Hôpital Dar-El Hanan, Djibouti Field Epidemiology Training Program, aliyusef@hotmail.com\r\n3.	Fathia Abdillah Osman, Garde Republicaine, Djibouti Field Epidemiology Training Program, maliyanari003@gmail.com\r\n4.	Isra Abdi Guirreh, Caisse National de Sécurité Social (CNSS), Djibouti Field Epidemiology Training Program, israabdi@hotmail.fr\r\n5.	Moustapha Omar Harred, Institut National de Santé Publique, Djibouti Field Epidemiology Training Program, moushared@gmail.com\r\n6.	Idriss Elmi Aden, Forces Armées de Djibouti, Djibouti Field Epidemiology Training Program,  idrissanas37@gmail.com \r\n7.	Prosper Ilunga Kelebwe, Djibouti Field Epidemiology Training Program, African Field Epidemiology Network of Djibouti, prosperkelebwe@yahoo.fr\r\n8.	Sahra Moussa Bouh, Djibouti Field Epidemiology Training Program, Ministry of health, saharamousa62@yahoo.com\r\n9.	Ahmed Robleh Abdilleh, Ministry of health, ahmedrobleh@hotmail.com\r\n10.	Tatek Anbessie Bogale, African Field Epidemiology Network, btatek@afenet.net\r\n11.	Herbert Kazoora Brian, African Field Epidemiology Network, hkazoora@afenet.net\r\n12.	Pedwindé Hamadou Seogo, Djibouti Field Epidemiology Training Program\r\nAfrican Field Epidemiology Network of Djibouti, seogoph@gmail.com\r\n13.	Houssein Youssouf Darar, Djibouti Field Epidemiology Training Program, Ministry of health, hyusef@gmail.com','<p>Profil sanitaire des élèves des écoles primaires de régions sanitaires,Djibouti, Décembre 2021- Mai 2022</p>','<p>La santé et l\'éducation sont étroitement liées et convergent vers la réussite de l\'élève. L’enquête nutritionnelle réalisée en 2019 montrait une prédominance des malnutritions. En 2021, des absences liées à la maladie ont été constatées dans plusieurs écoles de régions. Cependant aucune étude approfondie n’a été entreprise sur l’état de santé des élevés. Cette étude avait pour objectif de déterminer le profil sanitaire des écoliers des régions.</p>','<p>Nous avons mené une étude descriptive du 19 Décembre 2021 au 21 Mai 2022 dans les écoles primaires de régions de Djibouti. Nous avons réalisé un échantillonnage à trois degré. Au 1er degré nous avons tiré de façon aléatoire une école par région, au deuxième degré, une classe par école et au troisième degré, 10 élevés par classe. Chaque élève choisi faisait l’objet d’une fiche pour commémoratifs, d’un prélèvement sanguin pour le diagnostic de dengue et paludisme (TDR) et une numération formule sanguine. Les données sociodémographiques, anthropométriques et cliniques ont été collectées. Elles ont été analysées avec SPSS. Des proportions, la médiane et le ratio ont été calculés.</p>','<p>Au total 494 élèves ont été inclus. L’âge médian était de 9 ans (4-15 ans). Le sexe masculin représentait 66 % d’élèves. L’angine (18%), la toux (17%), la diarrhée/douleurs abdominale (11%), les céphalées (8%) et les brûlures mictionnelles 23(4%) étaient les principaux symptômes identifiés. L’anémie (139 cas) et la dengue (13 cas) étaient les principales pathologies. Sur le plan anthropométrique, 40 % des enquêtés avait un état nutritionnel maigre, 57 % normal et 3 % en surpoids.</p>','<p>Notre enquête a pu déterminer un état nutritionnel maigre chez nombreux écoliers et identifier l’anémie et la dengue comme principales pathologies. Les rations équilibrées dans les cantines scolaires et le déparasitage pourraient améliorer l’état santé des élèves. L’organisation des visités médicales dans les écoles s’avère indispensable.</p>','<p>Enquête, Absenteisme, Profil sanitaire, Elèves, Ecoles primaires des régions, Djibouti</p>','4','3','4','3','4','4',NULL,'Accept','Oral','Yes','<p>Good study, there need to improve the method and the conclusion</p>','2025-04-08 10:13:00','2023-06-01 08:03:37',NULL,65),(813,'Dr Seogo Pedwindé Hamadou','Djibouti FETP','hseogo@afenet.net','mr','Abdallah','Houssein Ismael','male','djibouti','abdallah88houssein@hotmail.com','<p>Djibouti Field Epidemiology Training Program , National Public Health Institute of Djibouti</p>','alumni',NULL,'9/2/2022','frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','1.	Mouhibo Hamoud Ahmed, Djibouti Field Epidemiology Training Program, Ministry of Health of Djibouti, mouhibohamoud@gmail.com \r\n2.	Abdi Houssein Egueh, Djibouti Field Epidemiology Training Program, Ministry of Health of Djibouti, abdihoussein13@hotmail.fr \r\n3.	Idriss Elmi Aden, Djibouti Field Epidemiology Training Program, Ministry of Health of Djibouti,  idrissanas37@gmail.com \r\n4.	Mohamed Ismael Dini, Djibouti Field Epidemiology Training Program, Ministry of Health of Djibouti,  dini101987@gmail.com \r\n5.	Samatar Kayad Guelleh, Djibouti Field Epidemiology Training Program, Ministry of Health of Djibouti,  samatark@hotmail.fr \r\n6.	Prosper Ilunga Kelebwe, Djibouti Field Epidemiology Training Program,\r\nAfrican Field Epidemiology Network of Djibouti, prosperkelebwe@yahoo.fr\r\n7.	Sahra Moussa Bouh, Djibouti Field Epidemiology Training Program, Ministry of health, saharamousa62@yahoo.com\r\n8.	Ahmed Robleh Abdilleh, Ministry of health, ahmedrobleh@hotmail.com\r\n9.	Tatek Anbessie Bogale, African Field Epidemiology Network, btatek@afenet.net\r\n10.	Herbert Kazoora Brian, African Field Epidemiology Network, hkazoora@afenet.net\r\n11.	Houssein Youssouf Darar, Djibouti Field Epidemiology Training Program, Ministry of health, hyusef@gmail.com \r\n12.	Pedwindé Hamadou Seogo, Djibouti Field Epidemiology Training Program, African Field Epidemiology Network of Djibouti, seogoph@gmail.com','<p>Investigation des cas de dengue dans le district de Dikhil, Novembre 2021</p>','<p>Le 14 novembre 2021, le résident FETP de Dikhil a notifié au service de surveillance épidémiologique de l’Institut National de Santé Publique (INSP), dix-huit (18) cas suspects de dengue au Centre Medico Hospitalier de Dikhil (CMHD). Nous avons mené une investigation pour confirmer le diagnostic, déterminer l’ampleur, décrire les cas et mettre en place des mesures de prévention et de contrôle</p>','<p>Nous avons mené une étude descriptive sur les cas de dengue enregistrés au CMH de la région de Dikhil du 19 au 21 novembre 2021. Un cas suspect de dengue était défini comme toute personne résidant dans la région de Dikhil présentant une maladie fébrile aiguë (2-7 jours), avec au moins deux de symptômes suivants : céphalées, douleur rétro-orbitale, myalgie, arthralgie, éruption cutanée, manifestations hémorragiques, syndrome de choc et un cas confirmé était un cas suspect avec un test diagnostic rapide positif ou ayant un lien épidémiologique avec un cas confirmé. Une recherche active a été mené au CMH et dans la communauté. Les données ont été collectées par l’entretien et par une revue documentaire avec une fiche d’investigation. Les fréquences, proportion et médianes ont été calculés.</p>','<p>Au total 265 cas suspects de dengue ont été enregistrés. L´âge médian était de 24 ans (4-70 ans). Parmi les cas,148 (56%), étaient de sexe masculin. Sur 73 prélèvements testés par le test rapide de dengue, 28 (38%) s’étaient avérés positifs. Un seul cas était IgM positif et le reste était IgG positif par le test rapide de dengue. L’antigène NS1 n’a pas été recherché.</p>','<p>L’investigation avait confirmé la présence de la dengue à Dikhil qui touchait plus l’adulte jeune. Nous recommandons le renforcement de la sensibilisation de la communauté, la formation du personnel de santé et la dotation des TDR-Dengue avec l’antigène NS1 pour la détection rapide de cas de dengue.</p>','<p>Dengue, Investigation, TDR-Dengue, Surveillance, Dikhil, Djibouti</p>','4','3','3','3','4','4',NULL,'Accept','Oral','Yes','<p>Good study, there need to improve the method, results and conclusion</p>','2025-04-09 10:13:00','2023-06-01 08:13:35',NULL,65),(814,'Dr Seogo Pedwindé Hamadou','Djibouti FETP','hseogo@afenet.net','mr','Adake','Mohamed Adake','male','djibouti','houkoube@hotmail.fr','<p>Djibouti Field Epidemiology Training Program &amp;Ministry of Health of Djibouti</p>','alumni',NULL,'9/2/2022','frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','1.	Prosper Ilunga Kelebwe, Djibouti Field Epidemiology Training Program, African Field Epidemiology Network of Djibouti, prosperkelebwe@yahoo.fr\r\n2.	Ibrahim Mohamed Dimbio,  Djibouti Field Epidemiology Training Program, African Field Epidemiology Network of Djibouti, ibmdimbio@hotmail.com\r\n3.	Mohamed Houmed Bourhan, Djibouti Field Epidemiology Training Program, African Field Epidemiology Network of Djibouti, medhoumed83@gmail.com \r\n4.	Pedwindé Hamadou Seogo, Djibouti Field Epidemiology Training Program, African Field Epidemiology Network of Djibouti, seogoph@gmail.com\r\n5.	Sahra Moussa Bouh, Djibouti Field Epidemiology Training Program, Ministry of health, saharamousa62@yahoo.com\r\n6.	Ahmed Robleh Abdilleh, Ministry of health, ahmedrobleh@hotmail.com\r\n7.	Tatek Anbessie Bogale, African Field Epidemiology Network, btatek@afenet.net\r\n8.	Herbert Kazoora Brian, African Field Epidemiology Network, hkazoora@afenet.net\r\n9.	Houssein Youssouf Darar, Djibouti Field Epidemiology Training Program, Ministry of health, hyusef@gmail.com','<p>Investigation de cas de COVID-19, Région sanitaire de Tadjourah, Djibouti, Janvier 2022</p>','<p>Le 9 janvier 2022, une femme âgée de 30 ans sans antécédent travaillant au Conseil Régional de Tadjourah (CRT) s’était présentée au Centre Médico-Hospitalier de Tadjourah (CMHT) pour consultation avec fièvre, toux et difficulté respiratoire. Son prélèvement était confirmé positif au test de diagnostic rapide (TDR) de Covid-19. Une investigation a été menée afin de lister les contacts, rechercher le cas source et mettre les mesures de prévention et de contrôle.</p>','<p>Nous avons réalisé une étude descriptive du 1 au 25 janvier 2022 à Tadjourah. Les définitions cas de l’Organisation Mondiale de la Santé actualisées ont été utilisés dans la recherche active. La collecte des données a été réalisée par la revue documentaire au CMHT et l’entretien dans la communauté. Le TDR Covid-19 a été utilisé chez les contacts et la biologie moléculaire chez les cas confirmés TDR positif. Les moyennes, proportion et ratio ont été calculés. La couverture vaccinale Covid-19 a été évaluée.</p>','<p>Au total 24 contacts ont été listés et prélevés. L’âge moyen de contacts était de 40 ans. Treize (54,2%) étaient de sexe masculin avec un sexe ratio (H/F) de 1,18. Sur 24 tests réalisés, un (4%) était revenu positif à la Covid-19. Parmi les contacts 71% (17/24) avaient reçu leurs vaccins anti Covid-19. Le cas index était une jeune femme non vaccinée contre la Covid-19 œuvrant au CRT. Le cas index et le cas supplémentaire ont été isolés. Un suivi de 14 jours a été organisé pour le reste de contacts.</p>','<p>L’investigation nous a permis de lister les contacts et trouver un cas supplémentaire dans la communauté. Des actions de santé publique ont été entreprises : l’isolement de cas positifs et la désinfection de lieu et l’organisation de séances de sensibilisation sur la COVID-19 qui doivent être poursuivies.</p>','<p>COVID-19, Investigation, Région de Tadjourah, Djibouti, Janvier 2022</p>','3','3','4','3','3','3',NULL,'Accept','Poster','Yes','<p>It looks good</p>','2025-04-10 10:13:00','2023-06-01 08:22:45',NULL,65),(815,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','dr','Bonodong Z.','Guri','female','ghana','bonodong.guri@yahoo.com','<p>Ghana Field Epidemiology and Laboratory Training Program</p>','alumni',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Basil Benduri Kaburi | Ghana Field Epidemiology and Laboratory Training Program | kbenduri@gmail.com\r\nVida Yirenkyiwaa Adjei | Noguchi Memorial Institute for Medical Research| vadjei@noguchi.ug.edu.gh\r\nEunice Baiden Laryea | Ghana Field Epidemiology and Laboratory Training Program | eunicenasbaiden@gmail.com\r\nGloria Ivy Mensah | Noguchi Memorial Institute for Medical Research | gmensah@noguchi.ug.edu.gh\r\nEdwin Andrews Afari | Ghana Field Epidemiology and Laboratory Training Program | afariea@yahoo.co.uk','<p>Antimicrobial Resistance of Escherichia coli and Salmonella species in Pigs, Greater Accra Region, Ghana, 2020</p>','<p>Antimicrobial resistance (AMR), an increasing menace to global public health causes about 700 000 deaths annually and an untold number of treatment failures in animals. Resistant pathogens in food animals and the consequent cross-contamination of edible carcass tissues constitute a significant hazard on diseases’ treatment outcomes in humans. We determined the carriage of E. coli and Salmonella spp in fecal and mesenteric lymph node (MLN) among apparently healthy pigs and characterized their antimicrobial susceptibility patterns.</p>','<p>Cross-sectional study, from February to July 2020. Collected approximately 5g of rectal feces and MLN from 140 pigs at slaughter. E. coli and Salmonella spp isolates were identified by colony morphology and confirmed by biochemical testing. Using the Kirby-Bauer disk diffusion method, we tested the susceptibility of the isolates against 10 antibiotics. Multi-drug resistance (MDR) was defined as any isolate resistant to three or more antimicrobial classes. We observed slaughter practices and environmental hygiene. Data collected was summarized descriptively.</p>','<p>Of the 189 E. coli isolated, (72.14%, 101/140) were in feces and (62.86%, 88/140) in MLN. Salmonella spp carriage was 22 isolates of which (2.14%, 3/140) in feces and (13.57%, 19/140) in MLN. About 64.6% of E. coli and 36.4% of Salmonella isolates showed resistance to the antibiotics tested. E. coli expressed resistance mainly to tetracycline (56.1% ,106/189), ampicillin (39.2%, 74/189) and trimethoprim/sulphamethoxazole (35.4%, 67/189) while Salmonella spp showed resistance mainly to ampicillin (31.8%, 7/22). Only E. coli showed MDR up to eight antibiotics. Slaughter practices and environmental hygiene were sub-standard.</p>','<p>AMR of E. coli in the feces and MLN was higher compared to Salmonella. MDR found, included resistance to third generation cephalosporin. Sub-standards slaughter practices and environmental hygiene could contribute to cross-contamination of edible carcasses. We sensitized slaughterhouse workers on hygiene practices and recommended strict supervision by the appropriate authorities.</p>','<p>Antibiotic resistance, E. coli, Salmonella, feces, mesenteric lymph nodes, Ghana</p>','5','4','4','4','5','4',NULL,'Accept','Oral','Yes',NULL,'2025-04-11 10:13:00','2023-05-31 05:52:02',NULL,71),(816,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Arnaud W. M.','Padonou','male','benin','arnaudwilfriedpadonou@gmail.com','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','B. Aniwanou/Ministère de la Santé /bernardaniwanou@yahoo.fr\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Profil épidémiologique des décès maternels dans le département du Littoral de 2018 à 2021 au Bénin</p>','<p>Un décès maternel peut être défini comme la fin de vie d’une femme survenue pendant la grossesse, l’accouchement ou dans 42 jours après sa terminaison. En Afrique subsaharienne, le taux de mortalité maternelle est passé de 520 à 397 pour 100 000 naissances vivantes entre 2000 et 2017. Au Bénin, les cas de décès maternels constituent un problème de santé publique. Notre étude a pour objet de décrire les caractéristiques épidémiologiques des décès maternels dans le département du Littoral de 2018 à 2021.</p>','<p>Une étude transversale descriptive a été réalisée sur des cas de décès maternels rapportés dans le Littoral de 2018 à 2021. Les données ont été extraites de la base de décès maternels du Littoral puis apurée et analysée avec EPI Info 7.2. Les fréquences ont été calculées. La cartographie a été faite avec QGIS.</p>','<p>Le département du Littoral a enregistré 456 décès maternels de 2018 à 2021 soit un ratio 360,2 [328,6-394,8] décès pour 100. 000 naissances vivantes. La majorité des cas avait un âge compris entre 25 et 34 ans ; 222/449, (49%) [44,7-54,2]. Les causes les plus fréquentes sont les hémorragies de la délivrance 157/364, (43,1%) [37,9-48,4] et l’hypertension artérielle 98/364 (27,0%) [22,4-31,8]. 143/213 (66,6%) [59,9-72,9] ont eu un accouchement par voie basse naturelle et 70/213 (32,9%) [26,6-39,6] ont subi une césarienne. Les années 2020 et 2021, ont respectivement enregistré, 38,6% et 39% de cas. Le lieu de décès pour la majorité des cas 83,3% (179/215) était un centre hospitalier universitaire. Plus de la moitié des décès résidait dans les communes voisines de Cotonou.</p>','<p>La mortalité maternelle reste élevée dans le département du Littoral. La formation du personnel sur la prise en charge des hémorragies de la délivrance contribuera à sa réduction.</p>','<p>Décès maternels, Hémorragie postpartum, Grossesse, Césarienne, Bénin.</p>','2','2','3','2','4','3',NULL,'Accept','Poster','Yes','<p><strong>Introduction&nbsp;:&nbsp;</strong></p><p>Au Bénin, les<strong> (enlever Cas)&nbsp;</strong>décès maternels constituent un problème de santé publique<strong>. (Mettre les statistiques disponibles au Benin)&nbsp;</strong>Notre étude<strong> &nbsp;avait </strong>pour objet de décrire le <strong>profi</strong>l&nbsp; épidémiologique <strong>des femmes décédées de suites de grossesse</strong> dans le département du Littoral . de 2018 à 2021.</p><p><strong>Méthodes :&nbsp;</strong></p><p>Une étude transversale descriptive<strong> de tous&nbsp;</strong>les décès maternels rapportés<strong> dans le Littoral de 2018 à 2021 a été réalisée. Les données ont été extraites de la base de décès maternels du Littoral. &nbsp;EPI Info 7.2. a été utilisé pour les analyses statistiques descriptives Excel 2016 et R, à 95% d’intervalle de confiance..</strong></p><p>&nbsp;</p><p><strong>Résultats&nbsp;</strong></p><p>&nbsp;</p><p><strong>Au total&nbsp;</strong>456 décès maternels<strong> ont été enregistrés de 2018 à 2021 soit un ratio de 360,2 [328,6-394,8] décès pour 100. 000 naissances vivantes.&nbsp;</strong>La majorité <strong>des femmes décédées&nbsp;</strong>avaient un âge compris entre 25 et 34 ans<strong> ; 222/449&nbsp;???? le dénominateur n’est pas 456&nbsp;???, (49%) [44,7-54,2].&nbsp;</strong>Les causes<strong> des décès&nbsp;</strong>les plus fréquentes sont les hémorragies de la délivrance 157/<strong>364&nbsp;</strong>?????, (43,1%) [37,9-48,4] et l’hypertension artérielle 98/<strong>364&nbsp;</strong>???? (27,0%) [22,4-31,8]&nbsp;; 143<strong>/213</strong>&nbsp;<strong>????</strong>(66,6%) [59,9-72,9] ont eu un accouchement par voie basse naturelle et 70/<strong>213</strong>&nbsp;<strong>?????</strong>(32,9%) [26,6-39,6] ont subi une césarienne. Les années 2020 et 2021, ont<strong>&nbsp;</strong>respectivement enregistré<strong>, (mettre toujours les % avec le N)&nbsp;</strong>38,6% et 39% de cas.<strong>&nbsp;</strong>Le lieu de décès pour la majorité des cas 83,3% (179/<strong>215&nbsp;????)</strong> était un centre hospitalier universitaire. Plus de la moitié(<strong> mettre les statistiques car c’est la section resultats)&nbsp;</strong>des décès résidait dans les communes voisines de Cotonou<strong>.</strong></p><p>&nbsp;</p>','2025-04-12 10:13:00','2023-06-01 14:31:12',NULL,155),(817,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mrs','Balikissou','Gnonlonfin','female','benin','gnonlonfin@yahoo.fr','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','R. Kohoun/Ministère de la Santé /rodriguekk@gmail.com\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Profil épidémiologique du choléra dans le département de l’Atlantique de 2017-2021, Bénin.</p>','<p>Le choléra est une maladie hydrique caractérisée par des diarrhées liquides profuses, provoquée par les sérogroupes O1 ou O139 de Vibrio cholerae. Chaque année, il touche 1,3 à 4 millions de personnes à travers le monde, avec entre 21000 et 143000 décès. Il demeure un problème de santé publique particulièrement en Afrique subsaharienne et au Bénin. Le département de l’Atlantique fait partie des zones souvent touchées. L’objectif de notre étude était de décrire le profil épidémiologique des cas de choléra dans l’Atlantique de 2017 à 2021.</p>','<p>Il s’est agi d’une étude transversale descriptive des cas de choléra du département de l’Atlantique de 2017 à 2021. Les données ont été extraites de la base de la surveillance et apurées, puis l’analyse a été faite avec Epi Info 7.2. Les fréquences absolues et relatives ont été calculées. La cartographie a été faite avec QGIS.</p>','<p>Au total, 153 cas de choléra ont été enregistrés dans le département de 2017 à 2021 avec 0 décès et 20 cas confirmés soit 14,81% (IC : 9,8-21,78). La majorité des cas, 83%, provenaient des milieux ruraux. La tranche d’âge de 1 à 15 ans est la plus atteinte avec 40,52% (IC : 33,07-48,44). Le sex-ratio H/F est de 1,59 (IC : 1,29-1,94). Des épidémies sont enregistrées avec une tendance saisonnière au troisième trimestre de chaque année. Une épidémie de grande ampleur a été observée au premier trimestre de 2021 et a atteint un pic de 95 cas. Toutes les communes sont touchées sauf Tori-Bossito et la commune lacustre de Sô-Ava a enregistré le plus de cas.</p>','<p>Le choléra sévit dans le département de l’Atlantique et souvent au troisième trimestre de l’année. Une intensification des activités de prévention dans les milieux ruraux pourrait réduire son incidence.</p>','<p>Cholera, Epidémie, Maladie hydrique, Vibrio cholerae, Benin.</p>','3','2','3','3','4','3',NULL,'Accept','Poster','Yes','<p><strong>Introduction&nbsp;: elle est plus longue que la méthodologie&nbsp;????</strong></p><p><strong>c’est mieux d’ajouter les statistiques disponibles pour le département de l’atlantique</strong></p><p><strong>Méthodes&nbsp;: Une étude……. De 2017 à 2021 a été réalisée. L’échantillonnage a été exhaustif. Les données…. Ont été extraites de la base de surveillance d’où&nbsp;????</strong></p><p><strong>Les analyses statistiques descriptives ont été réalisées avec Epi info 7.2. à 95% d’intervalle. Enlever le reste de phrases</strong></p><p><strong>Résultats :&nbsp;</strong></p><p>…….&nbsp; 20 cas confirmés soit 14,81% (IC : 9,8-21,78 ) <strong>de positivité</strong>. <strong>Mettez les verbes au passé et il faut toujours mettre les % avec les N</strong></p><p>&nbsp;A la place de cette phrase qui doit normalement etre dans la discussion&nbsp;:Des épidémies sont enregistrées avec une tendance saisonnière au troisième trimestre de chaque année, il faut mettre les resultats chiffrés montrant cette evolution saisonière. &nbsp;Une épidémie de grande ampleur a été observée au premier trimestre de 2021 <strong>avec combien des cas et décès&nbsp;??</strong> et a atteint un pic de 95 cas quant&nbsp;????. Toutes les communes<strong> étaient</strong> touchées sauf Tori-Bossito. <strong>Sô-Ava</strong> est aussi dans toutes les communes, on doit plus la citer</p><p><strong>Conclusion&nbsp;:</strong></p><p>&nbsp;</p><p>&nbsp;</p>','2025-04-13 10:13:00','2023-06-01 15:09:30',NULL,155),(818,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Martial R.','Yahannon','male','benin','martiroya@gmail.com','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','M. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Profil épidémiologique de la méningite dans le département du Borgou de 2016 à 2021</p>','<p>La méningite est une maladie à potentiel épidémique. Elle sévit dans une partie du monde appelée ceinture de la méningite dont fait partie le Bénin. De nombreux cas sont enregistrés dans le département du Borgou. L’objectif de cette étude était de décrire le profil épidémiologique des cas de la méningite enregistrés dans le département du Borgou de janvier 2016 à décembre 2021.</p>','<p>Il s’est agi d’une étude transversale descriptive. Les données concernant les cas de méningite notifiés entre janvier 2016 à décembre 2021, ont été extraites de la base de surveillance épidémiologique du département Borgou. Ces données ont été apurées puis analysées avec Epi Info 7.2. Les fréquences relatives et absolues ont été calculées. La cartographie a été faite avec QGIS.</p>','<p>L’étude a porté sur 1221 cas de méningite enregistrés. La tranche d’âge la plus représentée était celle de moins de 5 ans soit 73,3 % (895/1221). Le sex ratio H /F était de 1,5. Sur les 75 cas dont les agents pathogènes ont été identifiés, Neisseria meningitidis représentait 45,3% (34/75) suivi de Streptococcus pneumoniae 42,6% (32/75). Toutes les communes du Borgou ont enregistré des cas de méningite. L’incidence était très élevée en 2020 (21,4 pour 100 000 habitants) mais surtout dans les communes de Tchaourou et de Kalalé avec des incidences respectives de 26,4 et 26,2 pour 100 000 habitants. La létalité globale était de 5,7% (69/1221).</p>','<p>La méningite sévit dans le département du Borgou et est plus fréquente chez les enfants de moins de 5 ans. La confirmation des germes n’est pas systématique. Le renforcement des campagnes de vaccination contribuerait à la diminution de l’incidence de la méningite dans le département du Borgou.</p>','<p>Méningite, Neisseria meningitidis, Incidence, Bénin.</p>','3','3','4','3','3','3',NULL,'Accept','Poster','Yes','<p><strong>Introduction&nbsp;:&nbsp;</strong>Soyez précis, chiffrez les données au niveau du département de Borgou</p><p>&nbsp;</p><p><strong>Méthodes :&nbsp; </strong>Nous avons réalisé une étude <strong>(transversale)</strong> descriptive. Les données de <strong>tous les cas de méningite&nbsp;……2021………………. Epi info 7.2. a été utilisé pour les analyses statistiques descriptives. Enlevez le reste de phrases</strong></p><p><strong>Résultats&nbsp;: Ajouter le résultat sur le statut vaccinal</strong></p><p>&nbsp;</p>','2025-04-14 10:13:00','2023-06-01 15:34:43',NULL,155),(819,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Zoubérou','Bio Béri','male','benin','bioberizouberou@yahoo.fr','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','V.O. Hounkpè/Ministère de la Santé /hoolivier@yahoo.fr\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Profil épidémiologique de la méningite dans le département de l’Alibori, Bénin du 1er janvier 2017 au 31 décembre 2021</p>','<p>La méningite reste une maladie prioritaire de santé publique de par son potentiel épidémique élevé. Dans l’Alibori, entre 2017 et 2021, plusieurs cas de méningite avec une létalité élevée et des flambées ont été enregistrés malgré la vaccination de masse en 2012. L’analyse des données de la méningite est faite pour décrire le profil épidémiologique afin d’orienter les actions de santé publique dans le département.</p>','<p>Une étude transversale descriptive est réalisée et a portée sur tous les cas de méningite enregistrés dans la base de surveillance de l’Alibori du 1er janvier 2017 au 31 décembre 2021. Les données ont été analysées à l’aide d’Epi Info 7.2 pour calculer les fréquences relative et absolue. La cartographie a été faite avec QGIS.</p>','<p>425 cas suspects de méningite avec un taux d\'incidence annuel moyen de 8,45 pour 100 000 habitants et 36 décès (létalité de 8,27%) ont été rapportés. Le taux d\'incidence était le plus faible en 2021 avec 2,39 pour 100 000 habitants et le plus élevé en 2017 avec 14,15 pour 100 000 habitants. L’âge médian était de 9 ans, le sex ratio (H/F) de 1,28 et la tranche d’âge de 5-9 ans était la plus touchée (36%). Parmi les cas suspects, 402 (94,6%) ont été confirmés et les germes mis en cause sont le Neisseria méningitidis C (46%), le Streptococcus Pneumoniae (33%) et le Neisseria méningitidis X (15%).</p>','<p>la méningite sévit dans l’Alibori et ceci chez les enfants de 5 à 9 ans. La vaccination contre les germes en cause et le recours précoce aux soins pourraient contribuer à la réduction de l’incidence.</p>','<p>Méningite, Incidence, Neisseria méningitidis, Bénin</p>','4','3','3','3','3','3',NULL,'Accept','Poster','Yes','<p><strong>Introduction&nbsp;:</strong> Soyez précis, au lieu de plusieurs cas, mettez les statistiques disponibles</p><p><strong>Méthodes :&nbsp; Une étude…. a été &nbsp;réalisée&nbsp;</strong></p><p><strong>Remplacer les deux dernières phrases par&nbsp;: Epi info 7.2.&nbsp; a été utilisé pour les analyses statistiques descriptives</strong></p><p><strong>Résultats :&nbsp; On ne commence pas la phrase avec un nombre/chiffre. Mettez Au total 425 cas….., pour l’âge médian, ajouter la plage, mettre le N avec les %..... les germes mis en évidence étaient….. Ajouter le résultat sur la vaccination qui pourtant apparait dans la conclusion.</strong></p>','2025-04-15 10:13:00','2023-06-01 15:57:39',NULL,155),(820,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Amoussa','Tchoutcha','male','benin','amouss75@yahoo.fr','<p>Ministère de l\'Agriculture, de l’Elevage et de la Pêche</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','R. Koufèdé/Ministère de la Santé /koufederosette@gmail.com\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Evaluation du système de surveillance de la rage humaine de juillet 2021 à juin 2022 dans le département des Collines/Bénin</p>','<p>Au Bénin, la rage est une zoonose majeure, faisant partie des maladies sous surveillance. Six cas suspects de rage humaine ont été notifiés dans le département des collines de 2018 à 2022. L’objectif principal était d’évaluer le système de surveillance de la rage humaine du département des collines, de juillet 2021 à juin 2022.</p>','<p>Il s’est agi d’une étude transversale descriptive utilisant la méthode du guide des Centers for Disease Control (CDC) 2001. L’organisation, le fonctionnement, l’utilité ont été décrits et quelques attributs de ce système de surveillance ont été évalués. Des interviews ont été réalisées auprès de 18 agents de santé intervenant dans la surveillance. Les données ont été analysées avec Epi-Info 7.2 pour le calcul des fréquences avec un seuil de 80% pour chaque attribut.</p>','<p>Le système est passif et suit l’algorithme des maladies à notification immédiate qui comporte quatre niveaux (périphérique, zone, département et national y compris l’OMS) avec plusieurs profils du personnel impliqués. Parmi les enquêtés, 11 (60%) ont jugé que ce système détecte les cas et la notification de ces cas est immédiate. La définition de cas de la rage humaine n’est connue que par 8 (44%) des enquêtés et n’est affichée que dans une formation sanitaire (6,7%). La définition inclut la confirmation des cas au laboratoire qui ne se fait pas au Bénin. La promptitude, la complétude des fiches de notification et le taux de participation à l’étude étaient de 100%. Le système est représentatif car les données collectées permettent une description des cas en termes de temps, lieu et personne.</p>','<p>Le système de surveillance de la rage humaine du département des collines est fonctionnel, utile, acceptable, représentatif, mais ce système n’est pas simple. La revue de la définition de cas pourrait améliorer sa simplicité.</p>','<p>Rage humaine, Zoonose, One Health, Benin.</p>','2','1','1','2','2','1',NULL,'Reject','Rejected','Yes','<p><strong>L’introduction, les méthodes, les résultats ne cadrent pas avec le titre et il n’y a pas de cohérence entre les différentes parties.</strong></p><p><strong>A l’introduction&nbsp;: bien formuler l’objectif</strong></p><p><strong>Méthodes&nbsp;: précisez les différents attributs évalués</strong></p><p>&nbsp;</p>','2025-04-16 10:13:00','2023-06-01 16:23:50',NULL,155),(821,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mrs','Balikissou','Gnonlonfin','female','benin','gnonlonfin@yahoo.fr','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','R. Kohoun/Ministère de la Santé /rodriguekk@gmail.com\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Evaluation du système de surveillance du choléra dans le département de l’Atlantique en 2021, Benin</p>','<p>Le choléra est une maladie hydrique caractérisée par des diarrhées liquides profuses, qui touche 1,3 à 4 millions de personnes à travers le monde. Il demeure un problème de santé publique particulièrement en Afrique subsaharienne et au Bénin. La surveillance du choléra est intégrée aux activités de surveillance des maladies à potentiel épidémique. Le système de surveillance doit être évalué pour renforcer ses performances d’où le but de notre étude d’évaluer le système de surveillance du choléra du département de l’Atlantique en 2021.</p>','<p>Il s’est agi d’une étude transversale descriptive qui s’est déroulée du 22 Août au 03 Septembre 2022 dans le département de l’Atlantique. Le guide de surveillance des Centers for Disease and Controls (CDC) a été utilisé pour décrire le fonctionnement et l’utilité et évaluer certains attributs. Des interviews ont été réalisées auprès de 91 agents de santé impliquées dans la surveillance. L’analyse a été faite avec l’aide de Epi Info 7.2. Les fréquences ont été calculées. Un seuil de 80% a été fixé pour les attributs.</p>','<p>L’étude a révélé que le système de surveillance du choléra du département de l’Atlantique est utile et permet de détecter les cas de choléra et leur ampleur. Il est simple selon plus de 90% des personnes interrogées. L’acceptabilité du système est bonne (complétude 100% ; la promptitude (79,31%) et déclaration 77,31%). La représentativité est bonne car les données permettent de décrire les cas selon le temps, le lieu et la personne. La qualité des données est bonne (99,13%).</p>','<p>Le système de surveillance du choléra dans le département de l’Atlantique est globalement fonctionnel et bien établi. Toutefois, il est nécessaire de prendre des mesures pour renforcer sa qualité en matière de déclaration.</p>','<p>Evaluation, choléra, Maladie hydrique, Diarrhée, Bénin</p>','2','1','2','2','1','1',NULL,'Reject','Rejected','Yes','<p><strong>L’introduction, les méthodes, les résultats ne cadrent pas avec le titre et il n’y a pas de cohérence entre les différentes parties.</strong></p><p><strong>A l’introduction&nbsp;: bien formuler l’objectif</strong></p><p><strong>Méthodes&nbsp;: précisez les différents attributs évalués</strong></p><p>&nbsp;</p>','2025-04-17 10:13:00','2023-06-01 16:24:46',NULL,155),(822,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Edgard S.','N’tchagaba','male','benin','dibawe@gmail.com','<p>Ministère de l\'Agriculture, de l’Elevage et de la Pêche</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','V. Allanonto/Ministère de l’Agriculture de l’Elevage et de la Pêche/victorallanonto36@gmail.com \r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Evaluation du système de surveillance de la rage humaine dans le département de l’Atacora de juin 2021 à juillet 2022</p>','<p>La rage est une zoonose à lyssavirus responsable d\'encéphalomyélite précoce. Elle est endémique et constitue une des zoonoses prioritaires au Bénin. C’est une maladie sous surveillance. Cette étude visait à évaluer le système de surveillance de la rage humaine dans le département de l’Atacora aux fins d’améliorer les stratégies de contrôle de la maladie.</p>','<p>Il s’est agi d’une étude transversale descriptive sur la période du 1er juin 2021 au 30 juillet 2022. Des interviews ont été administrées à 26 agents de santé impliqués dans la surveillance. Les directives du guide d’évaluation des systèmes de surveillance du Centre de Contrôle et de Prévention de la Maladie (CDC Atlanta 2001) ont été utilisées pour évaluer des attributs. Les données collectées ont été analysées avec Epi-Info 7.2 pour un seuil minimal de 80% pour chaque attribut. Des fréquences absolue et relative ont été calculées.</p>','<p>L’organisation du système de surveillance de la rage humaine est de type pyramidal. Ce système a permis de détecter un (01) cas de la rage humaine de juin 2021 à juillet 2022. Ce cas a été investigué avec une notification immédiate. La majorité des acteurs (96,15%) estimait que le système de surveillance permet de détecter précocement des cas. La totalité des formations sanitaires (100%) disposait de la définition de cas. Une faible proportion des acteurs (42,3%) trouvait facile la définition de cas. Les données enregistrées permettaient de décrire les cas en termes de temps, lieu et personne.</p>','<p>Le système de surveillance de la rage humaine du département de l’Atacora est peu simple, utile, acceptable, représentatif. Le renforcement de capacité des acteurs de santé est nécessaire pour l’amélioration de sa performance.</p>','<p>Rage humaine, Zoonose, Etude transversale, Bénin</p>','3','3','3','2','2','3',NULL,'Accept','Poster','Yes','<p>pas des données objectifs pour soutenir son endémicité,</p><p>Peu d\'attributs évalués</p>','2025-04-18 10:13:00','2023-06-01 22:33:25',NULL,15),(823,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Gally A.','Djaboutou','male','benin','djabougall@yahoo.fr','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','V.O. Hounkpè/Ministère de la Santé /hoolivier@yahoo.fr\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Evaluation du système de surveillance de la rougeole dans le département de l’Atacora du 1er janvier au 30 juin 2022</p>','<p>La rougeole reste une cause majeure de morbidité, de mortalité dans le monde, notamment dans les pays en développement, malgré l\'existence d\'un vaccin sûr et efficace. Au Bénin, les épidémies sont observées chaque année. La surveillance est l\'un des aspects clés de la lutte contre cette maladie. Cette étude vise à évaluer le système de surveillance de la rougeole dans l’Atacora, afin d’améliorer ses performances.</p>','<p>Une étude transversale descriptive a été réalisée. Les directives actualisées du guide Center for Disease Control and Prevention « CDC-Atlanta 2001 » ont servi à décrire l’organisation et le fonctionnement et évaluer les attributs du système de surveillance. Des interviews ont été réalisées auprès de 84 agents de santé intervenant dans la surveillance. Les données ont été analysées avec Epi Info 7.2 avec un seuil minimal de 80% pour chaque attribut.</p>','<p>Le système de surveillance est organisé sous forme de pyramide à 3 niveaux. Les outils de surveillance étant faciles pour 97,6% (82/84) [IC95% : 91,7%-97,7%] des agents et le circuit d’acheminement des prélèvements complexe pour 29,8% (25/84) [IC95% : 20,3%-40,7%] des agents alors le système est simple. La complétude des rapports étant de 97,5% (115/118) et la promptitude de 96,9%, le système est acceptable. Le faible taux de données manquantes (7,7%) témoigne de la qualité des données et elles reflètent les caractéristiques précises des cas en temps, lieu et personne d’où la bonne représentativité. Sur les cas suspects, 94 (79,66%) ont été prélevés, dont 42 (35,59%) étaient positifs, ce qui donne une valeur prédictive positive (VPP) de 44,68%.</p>','<p>Le système de surveillance de la rougeole de l’Atacora est simple, représentatif et généralement acceptable. Le renforcement de capacités des acteurs permettra d’améliorer la performance en matière de qualité des données.</p>','<p>Rougeole, Morbidité, Etude transversale, Bénin</p>','2','2','3','2','2','2',NULL,'Reject','Rejected','Yes','<p>Methode. La méthode n\'est pas seulement transversale mais mixte cas des documentas ont été révisés pour calculer la promptitude et la qualité des données. Il n\'est pas claire pour quels attributs l\'interview a été menée et pour quels attributs les bases ont été révisés.&nbsp;</p><p>Résultats: Les conclusions sont incluses dans les résultats. La représentativité n\'est pas bien décrite dans les résultats. Comment le VPP a été calulee. La proportion de cas positif est mal calculée 42/94=44.7% qui est aussi la VPP. Revoir ce calcul.&nbsp;</p><p>Conclusions. 29,8% des personnes interrogées ont trouvé le circuit d\'acheminement des échantillons complexe mais aucune recommendation dessus. Vous avez recommandé d\'améliorer la qualité des données alors que 7,7% des données étaient manquantes et votre seuil dans la méthode était de 80%. Pas d\'accord entre certains résultats, conclusions et la méthode.&nbsp;</p>','2025-04-19 10:13:00','2023-05-20 19:18:32',NULL,211),(824,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Paulus','Nougbologni','male','benin','nougbolognipaulus@gmail.com','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','L. Dèdèwanou/Ministère de la Santé /lydmonloto@yahoo.fr\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Evaluation du système de surveillance de la rougeole dans le département du Plateau, Benin, 1er janvier 2017 au 31 décembre 2021</p>','<p>La rougeole reste un problème de santé publique au Bénin. Sa surveillance a démarré depuis plusieurs années et est intégrée à la surveillance des maladies à potentiel épidémique. Le système de surveillance doit être évalué pour améliorer sa performance d’où le but de cette étude.</p>','<p>Une étude transversale descriptive a été réalisée sur le système en septembre 2022. Les directives du guide « CDC-Atlanta », ont été utilisées pour décrire l’organisation, l’utilité et évaluer certains attributs. Des interviews ont été réalisées auprès de 60 agents de santé impliqués dans la surveillance. Les données ont été collectées à l’aide d’un questionnaire. L’analyse a été faite avec Epi-Info7.2. Les fréquences absolue et relative ont été calculées.</p>','<p>Pour l’utilité, les outils de collecte étaient accessibles pour 96,7% (IC95% : [88,6- 99,1]) des agents. Les agents formés sur la surveillance de la rougeole représentaient 31,7% (IC95% : [21,3-44,2]). Les décisions après analyse étaient prises au niveau des zones sanitaires. Pour la simplicité, les outils de surveillance étaient faciles pour 69% (IC95% : [52,4-75,8]) des agents et le circuit d’acheminement des prélèvements était complexe pour 71,7% (43/60) (IC95% : [59,2-81,5]) des agents. Pour l’acceptabilité, la complétude des rapports était de 100% (IC95% : [98,7-100,0]) et la promptitude de 89,7% (IC95% : [85,8-92,7]). Pour la qualité des données, l’exhaustivité des données était de 61,5% (IC95% : [55,9-66,8]). Les données nous ont permis une description des cas en termes de temps, lieu et personne. La létalité était de 1,33% (IC95% : [0,5-3,4]). Les cas provenaient de toutes les communes du département.</p>','<p>Le système était représentatif, acceptable, utile, peu simple avec une faible qualité des données. Pour diminuer le taux de données manquantes, la mise à jour des connaissances du personnel serait indispensable.</p>','<p>Evaluation, Rougeole, Etude transversale, Bénin.</p>','3','3','3','3','4','2',NULL,'Accept','Poster','Yes','<p>Quelle est la pop d\'etude ? Quelles sont les unités statistiques? Agents de santé ou structures ?</p><p>Certains resultas sont imprecis : exemple la representativité \"Les données nous ont permis une description des cas en termes de temps, lieu et personne\" . Donnez les pourcentages plutot</p><p>Abstract à corriger aprés si accepté</p>','2025-04-20 10:13:00','2023-05-31 12:04:51',NULL,173),(825,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Raoul','Assogbakpè','male','benin','raoulassogbakpe@gmail.com','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','M. Houémènou/Ministère de la Santé /modestehouemenou@yahoo.fr\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Evaluation du système de surveillance épidémiologique de la Paralysie Flasque Aigue dans le département du Zou, Bénin de janvier 2017 au décembre 2021.</p>','<p>La poliomyélite est une maladie contagieuse, invalidante qui touche plus les enfants de 0 à 15 ans. Elle est d’une importance en santé publique et de portée internationale avec 350 000 enfants atteints dans plus de 125 pays endémiques en 1998. Dans le cadre de son éradication, la surveillance des cas de Paralysie Flasque Aiguë (PFA) est indispensable afin d’orienter la riposte. La présente étude vise à évaluer le système de surveillance de la PFA dans le département du Zou de 2017 à 2021.</p>','<p>Une étude transversale descriptive a été réalisée. Des interviews ont été faites auprès de 108 agents impliqués dans la surveillance épidémiologique. Le système de la surveillance de la PFA a été évalué en référence au guide du CDC 2001 et le guide de la performance de la surveillance de la PFA de l’OMS. Les analyses ont été analysées avec Epi info 7.2 pour une performance ≥ 80% pour chaque attribut. Les fréquences absolue et relative ont été calculées.</p>','<p>Les données reflètent les caractéristiques précises des cas en temps, lieu et personne d’où la bonne représentativité. Le taux élevé de 25,53% de données manquantes a affecté leur qualité. La majorité des agents à 96% [90,86-98,55] ont accepté participer à la détection et à la notification des cas de PFA. La complétude a été de 74,47% [71,24-77,45] et la promptitude a été de 75% [34,91-96,81], le système n’a pas été accepté. La définition de cas a été facile pour 100% [96,57-100], le remplissage des outils a été difficile pour 97% [92,15-99,05] et le circuit de notification a été complexe pour 78% [69,6-84,59], le système n’a pas été simple.</p>','<p>Le système de surveillance des PFA n’a pas été jugé simple et acceptable. Sa performance exige la correction de ses faiblesses.</p>','<p>Poliomyélite, Paralysie Flasque Aigue, Etude transversale, Bénin</p>','3','2','2','2','1','2',NULL,'Reject','Rejected','Yes','<p>Méthode. l\'évaluation du système de surveillance est faite pour évaluer les attributs mais les attributs ne sont mentionnés dans la méthode. On ne connait pas les attributs à évaluer dans la méthode&nbsp;</p><p>Résultats. On ne comprend pas la ou l\'évaluation d\'un attribut commence et la elle finit.&nbsp;</p><p>Conclusions. Les conclusions en sont pas exhaustives et trop globalisantes. La façon de conclure ne permet pas de poser des actions de santé publique.&nbsp;</p><p>Pour la prochaine fois, mentionne l\'attribut que vous voulez évaluer dans la méthode et soit précis avec les indicateurs inclus dans les attributs et plus détaillants dans la conclusions pour des actions de santé publique pour corriger les indicateurs à problèmes</p>','2025-04-21 10:13:00','2023-05-21 01:49:25',NULL,211),(826,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Raoul','Assogbakpè','male','benin','raoulassogbakpe@gmail.com','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','N. Sossoukpè/ Ministère de la Santé/sossoukpe@gmail.com\r\nR. Sèfounon/ Ministère de la Santé/sefounonrd@gmail.com\r\nB. Gnonlonfin/Ministère de la Santé /gnonlonfin@yahoo.fr\r\nA. Tchoutcha/Ministère de l’Agriculture de l’Elevage et de la Pêche/amouss75@yahoo.fr  \r\nA.W. M. Padonou/ Ministère de la Santé/arnaudwilfriedpadonou@gmail.com \r\nA.A.G. Adanvè/Ministère de la Santé/adanva00@gmail.com  \r\nF. Dadidjè/Ministère de l’Agriculture de l’Elevage et de la Pêche /dadidje@yahoo.fr  \r\nE. Hountohotegbè/Ministère de la Santé /hountedo2@yahoo.fr \r\nG.A. Djaboutou/Ministère de la Santé /djabougall@yahoo.fr\r\nM.R. Yahannon/Ministère de la Santé /martiroya@gmail.com\r\nP. Nougbologni/Ministère de la Santé /nougbolognipaulus@gmail.com\r\nS. Salifou-Issaka/Ministère de la Santé /salifou.sanni@gmail.com\r\nEdgard S. N’Tchagaba/Ministère de l’Agriculture de l’Elevage et de la Pêche /dibawe@gmail.com\r\nZ. Bio Béri/Ministère de la Santé /bioberizouberou@yahoo.fr \r\nV.O. Hounkpè/Ministère de la Santé /hoolivier@yahoo.fr\r\nB. Aniwanou/Ministère de la Santé /bernardaniwanou@yahoo.fr\r\nV. Allanonto/Ministère de l’Agriculture de l’Elevage et de la Pêche/victorallanonto36@gmail.com \r\nR. Kohoun/Ministère de la Santé /rodriguekk@gmail.com\r\nL. Dèdèwanou/Ministère de la Santé /lydmonloto@yahoo.fr\r\nR. Koufèdé/Ministère de la Santé /koufederosette@gmail.com\r\nM. Houémènou/Ministère de la Santé /modestehouemenou@yahoo.fr\r\nB. Aniwanou/Ministère de la Santé /bernardaniwanou@yahoo.fr\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Caractéristiques épidémiologiques des cas de paludisme grave référés des centres de santé vers les hôpitaux publics du Bénin du 1er avril au 31 octobre 2022</p>','<p>Le paludisme est une maladie fébrile parasitaire. Elle sévit sous deux formes : la forme simple et la forme grave plus fréquente chez les enfants. Cette forme grave constitue l’une des principales causes d’hospitalisation et de décès dans les formations sanitaires. Le protocole national de prise en charge recommande la référence des cas de paludisme grave dans les hôpitaux. Notre étude avait pour but de déterminer les caractéristiques de la référence.</p>','<p>Une étude transversale descriptive a été faite sur les cas référés de paludisme grave enregistrés dans 35 hôpitaux publics du pays du 1er avril au 31 octobre 2022. Les dossiers ont été sélectionnés de façon aléatoire et les données recueillies par dépouillement. Ces données ont été analysées avec Epi info7.2.</p>','<p>Sur 5884 dossiers sélectionnés, 1730 soit 29,4% ont été référés. Le sexe ratio est de 1,03. 60,8% des cas référés se retrouvaient dans la tranche d’âge de 12 à 36 mois et 78% parmi eux provenaient du milieu rural. La létalité était de 6,13%. Parmi les cas référés, 58,5% ont bénéficié des soins de pré référence, et parmi ces derniers, 73,81% avaient un abord veineux et 56,32% ont pu bénéficier de la première dose d’artésunate. La forme anémique a été la plus fréquente soit 71,85%. L’ambulance n’a été utilisée que pour 11,63% des références. Les référés provenaient plus des formations sanitaires publiques soit 90,86%, et 95,78% étaient admis à l’hôpital au plus dans les 24 heures qui suivent la référence.</p>','<p>Le paludisme grave est une réalité dans nos formations sanitaires. Peu de cas sont référés des formations sanitaires, et le taux de traitement de pré référence est faible. Une mise à niveau des agents de santé sur les directives de la référence des cas de paludisme grave s’avère nécessaire.</p>','<p>Paludisme, Référence, Etude transversale, Bénin.</p>','2','2','3','3','3','3',NULL,'Accept','Poster','Yes','<p>Pas de chiffres dans l\'introduction pour appuyer vos dires. L\'objectif était de déterminer les caractéristiques de la référence où des cas de palu grave référés?</p><p>Les méthodes sont très pauvres. Qu\'avez vous calculer?</p>','2023-05-24 10:13:00','2023-05-30 11:53:43',NULL,115),(827,'Djibo Issifou','Resident Advisor Niger','idjibo@afenet.net','dr','Moustapha','Y. Mahamadou','male','niger','hamadoumoustapha1980@gmail.com','<p>Centre des Opérations d’Urgence en Santé Publique (COUSP), Projet de gestion des urgences sanitaires (AVoCH-SURGE), Niger</p>','alumni',NULL,'15/11/2021','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','I. G. Aboubakar, Centre des Opérations d’Urgence en Santé Publique (COUSP), Projet de gestion des urgences sanitaires (AVoCH-SURGE), Niger, iaboubakargandou@yahoo.fr\r\nI. Djibo, Réseau Africain d’Epidémiologie de Terrain (AFENET), idjibo@afenet.net\r\nT.E. Ibrahim, Direction de la Surveillance et de la Riposte aux Épidémies, Ministère de la Santé Publique, Niger, doumakwawa@gmail.com','<p>Épidémie de choléra et 1er déploiement de l’équipe du projet gestion des urgences sanitaires à Madarounfa, Niger, septembre 2022</p>','<p>Le choléra est une infection diarrhéique aiguë provoquée par l’ingestion d’aliments ou d’eau contaminés par le bacille Vibrio cholerae. Le Niger a été touché par l’épidémie de choléra septembre 2022. Les cas ont été notifiés par le district sanitaire de Madarounfa. En capitalisant les leçons apprises des épidémies antérieures et l’opportunité du projet de gestion des urgences sanitaires (AVoCH- SURGE) nouvellement implanté au Niger, nous avons renforcé la qualité des interventions de riposte pour mettre fin à cette épidémie.</p>','<p>Nous avons mené une étude descriptive des cas du choléra enregistrés dans le district sanitaire de Madarounfa, du 1er au 24 septembre 2022. Nous avons procédé à une recherche des cas additionnels dans les villages et formations sanitaires. Des entretiens avec les patients et une revue documentaire ont été réalisés. Des échantillons de selles ont été prélevés. Des listes linéaires des cas et de leurs contacts ont été établies. Epi Info 7.2 et Excel® utilisés pour les analyses.</p>','<p>Au total, 39 cas dont 1 décès ont été enregistrés soit une létalité de 2,56%. Le sexe féminin représentait 53,85%. La tranche d’âge 5-14 ans est la plus affecté avec 46,15%. Le village de Madarounfa était le plus touché (87,18%). Les personnes non vaccinées étaient les plus touchées (58,97%). Les populations vivaient dans la promiscuité et consommaient l’eau de surface. Des prélèvements d’eau ont été faits pour analyse. La défécation se faisait à l’air libre dans certains villages. Une équipe AVoCH- SURGE a été déployé avec pour une première fois un laboratoire mobile.</p>','<p>Le déploiement de l’équipe du projet gestion des urgences sanitaire a permis de rompre rapidement la chaine de transmission grâce à l’application de la méthode de cerclage. Nous recommandons l’appropriation de cette méthode de gestion des épidémies.</p>','<p>Investigation, Choléra, Madarounfa, Niger</p>','4','3','3','3','3','4',NULL,'Accept','Poster','Yes','<p>L\'objectif de l\'étude n\'est pas clairement élucidé. Dans la méthodologie, la définition des cas n\'a pas été précisée ainsi que les mesures statistiques qui sont utilisées dans les résultats. Nulle part dans les résultats, l\'auteur a fait ressortir la méthode de cerclage.&nbsp;</p>','2025-04-22 10:13:00','2023-05-15 15:31:30',NULL,176),(828,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Nestor','Sossoukpè','male','benin','sossoukpe@gmail.com','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','R. Sèfounon/ Ministère de la Santé/sefounonrd@gmail.com\r\nR. Assogbakpè /Ministère de la Santé/ raoulassogbakpe@gmail.com\r\nB. Gnonlonfin/Ministère de la Santé /gnonlonfin@yahoo.fr\r\nA. Tchoutcha/Ministère de l’Agriculture de l’Elevage et de la Pêche/amouss75@yahoo.fr  \r\nA.W. M. Padonou/ Ministère de la Santé/arnaudwilfriedpadonou@gmail.com \r\nA.A.G. Adanvè/Ministère de la Santé/adanva00@gmail.com  \r\nF. Dadidjè/Ministère de l’Agriculture de l’Elevage et de la Pêche /dadidje@yahoo.fr  \r\nE. Hountohotegbè/Ministère de la Santé /hountedo2@yahoo.fr \r\nG.A. Djaboutou/Ministère de la Santé /djabougall@yahoo.fr\r\nM.R. Yahannon/Ministère de la Santé /martiroya@gmail.com\r\nP. Nougbologni/Ministère de la Santé /nougbolognipaulus@gmail.com\r\nS. Salifou-Issaka/Ministère de la Santé /salifou.sanni@gmail.com\r\nEdgard S. N’Tchagaba/Ministère de l’Agriculture de l’Elevage et de la Pêche /dibawe@gmail.com\r\nZ. Bio Béri/Ministère de la Santé /bioberizouberou@yahoo.fr \r\nV.O. Hounkpè/Ministère de la Santé /hoolivier@yahoo.fr\r\nB. Aniwanou/Ministère de la Santé /bernardaniwanou@yahoo.fr\r\nV. Allanonto/Ministère de l’Agriculture de l’Elevage et de la Pêche/victorallanonto36@gmail.com \r\nR. Kohoun/Ministère de la Santé /rodriguekk@gmail.com\r\nL. Dèdèwanou/Ministère de la Santé /lydmonloto@yahoo.fr\r\nR. Koufèdé/Ministère de la Santé /koufederosette@gmail.com\r\nM. Houémènou/Ministère de la Santé /modestehouemenou@yahoo.fr\r\nB. Aniwanou/Ministère de la Santé /bernardaniwanou@yahoo.fr\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Facteurs associés à la létalité du paludisme grave chez les enfants de moins de 5 ans dans les hôpitaux publics du Bénin du 01 avril au 31 octobre 2022</p>','<p>Le paludisme demeure un problème majeur de santé publique dans le monde. La forme grave constitue l’une des principales causes d’hospitalisation et de décès dans les formations sanitaires en régions tropicales. La région africaine de l’OMS continue de payer le plus lourd tribut et la sous-région ouest-africaine ne fait pas exception. Au Bénin, les cas graves ne sont pris en charge que dans les structures hospitalières. La priorisation des facteurs influençant la létalité pourrait aider à sa réduction d’où le but de notre étude.</p>','<p>Il s’est agi d’une étude transversale analytique qui a porté sur les cas de paludisme grave reçus dans 35 hôpitaux publics du Benin du 1er Avril 2022 au 31 Octobre 2022. Un échantillonnage aléatoire des cas a été réalisé. Les données ont été analysées avec Epi Info 7.2. Les fréquences et odds ratios ont été calculés.</p>','<p>5884 cas ont été collectés. Le sex ratio H/F est de 1,1. La tranche d’âge la plus représentée est de 12 à 36 mois : 61,6%. La létalité était de 7%. Les cas provenaient plus du milieu rural soit 72% et 29,4% avaient été référés. Les enfants ayant un trouble de la conscience OR=2,2 : IC 95% [1,79-2,71], une convulsion OR=1,56 : IC 95% [1,3-1,95], des troubles respiratoires OR=2,15 : IC 95% [1,74-2,65 ] ; un OAP, OR=2,46 : IC 95% [1,33-4,3], une incapacité de se nourrir, OR=2 : IC 95% [1,6-2,48] et ceux pour qui le protocole de prise en charge n’est pas respecté OR=3,56 : IC 95% [2,49-5,07], avaient plus de risque de mourir.</p>','<p>La létalité du paludisme grave est liée à la présence d’affections respiratoires et de trouble de la conscience. Une sensibilisation des agents sanitaires sur le respect du protocole de prise en charge s’avère indispensable.</p>','<p>Paludisme grave, Conscience, Convulsion, Etude transversale, Bénin</p>','2','3','3','2','3','3',NULL,'Accept','Oral','Yes','<p>Introduction. Pour la prochaine fois, il faut chiffrer les importances en termes de santé publique.&nbsp;</p><p>Méthode. Il faut décrire quel échantillonnage aléatoire que vous avez utilisé &nbsp;pour sélectionner les gens. N.B. Il y en a quatre: simple, stratifié, systématique et en grappes. Ajouter les definitions de cas de paludisme graves&nbsp;</p><p>Resultats. Comme vous avez eu plusieurs facteurs associés, il serait bon de faire une regression logistique pour pouvoir arriver a des conclusions en calculant le ORa.&nbsp;</p><p>Conclusions. Revoir la conclusion pour en ajoutant tous les facteurs après la regression logistique. &nbsp;</p>','2025-04-23 10:13:00','2023-05-21 02:05:13',NULL,211),(829,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Amoussa','Tchoutcha','male','benin','amouss75@yahoo.fr','<p>Ministère de l\'Agriculture, de l’Elevage et de la Pêche</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','R. Koufèdé/Ministère de la Santé /koufederosette@gmail.com\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Référence des cas de paludisme grave et facteurs associés à la létalité chez les enfants de 0 à 59 mois dans les hôpitaux publics du département des collines, Bénin du 1er avril au 31 octobre 2022</p>','<p>Le paludisme grave est la première cause de décès chez les enfants de moins de cinq ans. Au Bénin, l’incidence du paludisme est estimée à 15%. L’objectif principal était d’évaluer l’impact de la référence sur l’issue des cas graves de paludisme chez les enfants de 0 à 59 mois dans le département des collines du 1er avril au 31 octobre 2022.</p>','<p>Nous avons effectué une étude transversale analytique des cas de paludisme grave confirmé chez les enfants de 0 à 59 mois dans les hôpitaux du département des collines du 1er avril au 31 octobre 2022. Les dossiers ont été sélectionnés suite à un échantillonnage aléatoire à l’aide du logiciel Open Epi. Les données collectées ont été analysées avec les logiciels Epi info 7.2.5.0 et Excel 2019. Les fréquences et odds ratios ont été calculés.</p>','<p>Parmi les 392 cas graves de paludisme inclus dans notre étude, 26 (6,6%) étaient référés, le sex ratio est de 1,6 et la tranche d’âge de 12 à 36 mois étaient la plus représentée 65% (255). La létalité était de 15,4% chez les référés contre 3,6% chez les non référés. Le paludisme grave forme anémique est le plus diagnostiqué 76,9%. L’artésunate a été administré en traitement pré référence chez 19% des enfants référés ainsi que la correction de l’hypoglycémie. Les enfants référés avaient plus de risque de décéder (OR=4,9 ; IC 95% [1,3-15,8]), ainsi que les enfants présentant les troubles de conscience (OR=5,2 ; IC 95% [1,9-15,5]), la convulsion ou antécédent de convulsion (OR=3,5 ; IC 95% [1,2-9,9]), ou la forme mixte anémique et neurologique (OR=4,6 ; IC 95% [1,6-12,7]).</p>','<p>Les cas de paludisme grave référés ne bénéficient pas toujours des soins de pré-référence de qualité. Une sensibilisation des agents s’impose.</p>','<p>Paludisme grave, Incidence, Hypoglycémie, Anémie, Bénin</p>','3','3','3','2','3','3',NULL,'Accept','Oral','Yes','<p>Introduction. Pour la prochaine fois, il faut parler sur comment la reference des cas de paludisme grave est organisée au Benin&nbsp;</p><p>Méthode. Il faut décrire quel échantillonnage aléatoire que vous avez utilisé &nbsp;pour sélectionner les gens. N.B. Il y en a quatre: simple, stratifié, systématique et en grappes. Ajouter les definitions de cas de paludisme graves&nbsp;</p><p>Resultats. Comme vous avez eu plusieurs facteurs associés, il serait bon de faire une regression logistique pour pouvoir arriver a des conclusions en calculant le ORa.&nbsp;</p><p>Conclusions. Revoir la conclusion pour en ajoutant tous les facteurs après la regression logistique. &nbsp;</p>','2025-04-24 10:13:00','2023-05-21 02:12:53',NULL,211),(830,'NOUDEKE   NESTOR   DENAKPO','Resident Advisor FETP BENIN','noudnest@yahoo.fr','mr','Raoul','Assogbakpè','male','benin','raoulassogbakpe@gmail.com','<p>Ministère de la Santé</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','M. Houémènou/Ministère de la Santé /modestehouemenou@yahoo.fr\r\nM. Houssou/AFENET-BENIN /madeliele@yahoo.fr\r\nN.D. Noudèkè/AFENET-BENIN /noudnest@yahoo.fr','<p>Référence des cas de paludisme grave et facteurs associés à la létalité chez les enfants de moins de 5 ans dans les hôpitaux publics du département du Zou au Bénin du 1er avril au 31 octobre 2022</p>','<p>Le paludisme demeure un problème majeur de santé publique dans le monde, 80 % des décès liés au paludisme concernent les enfants de moins de 5 ans. La létalité associée au paludisme est préoccupante au Bénin surtout chez les enfants de moins de cinq ans. L’étude vise à évaluer l’impact de la référence sur l’issue des cas graves de paludisme chez les enfants de moins de 5 ans dans les hôpitaux publics du département du Zou au Bénin du 1er avril au 31 octobre 2022.</p>','<p>Une étude transversale analytique a été réalisée. L’échantillonnage des dossiers médicaux était aléatoire simple à l’aide du logiciel OpenEpi. Les données collectées ont été analysées avec le logiciel Epi info 7.2. Des fréquences et des odds ratio ont été calculés.</p>','<p>Nous avons recensés 394 cas et 70,81% des cas résidaient en milieu rural, la tranche d’âge de 12-36 mois était majoritaire soit 55,84%. Le sexe ratio H/F était de 1,18. Le signe de gravité le plus fréquent était l’anémie soit 87,82%. La létalité était 9,89%. Seulement 25,9% des cas était référé et l’ambulance était utilisée pour 11,76% des références. L’artésunate a été administré en pré référence pour 99% des cas. Les facteurs associés à la létalité étaient le mode d’admission non référé (OR=3,33 ; (IC à 95%) : [1,15-9,63]) ; la convulsion (OR= 4,08 ; IC à 95% : [2,05-8,16]) ; l’œdème pulmonaire (OR=2,88 ; (IC à 95%) : [1,15-7,19]) ; l’hypoglycémie ≤ 0,50 g/l (OR=12,37 ; (IC9 à 95%) : [1,49-102,64]).</p>','<p>Les cas de décès liés au paludisme grave sont plus observés chez les non référés. Une meilleure fréquentation des formations sanitaires périphériques pour des soins de pré référence pourra permettre de réduire la létalité.</p>','<p>Paludisme grave, Etude transversale, Artésunate, Bénin</p>','2','3','3','3','3','3',NULL,'Accept','Poster','Yes','<p>Introduction. Pour la prochaine fois, il faut décrire la façon dont la reference est organisée .&nbsp;</p><p>Méthode. Ajouter les definitions de cas de paludisme graves&nbsp;</p><p>Resultats. Comme vous avez eu plusieurs facteurs associés, il serait bon de faire une regression logistique pour pouvoir arriver a des conclusions en calculant le ORa.&nbsp;</p><p>Conclusions. Revoir la conclusion pour en ajoutant tous les facteurs après la regression logistique. &nbsp;</p>','2025-04-25 10:13:00','2023-05-21 02:16:36',NULL,211),(831,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','mr','Godrick','Mwaringa','male','kenya','gmwaringa@yahoo.com','<p>Kenya FELTP</p>','alumni',NULL,'30/10/2020','advanced','one-health-and-climate-change','Simon Ruto | Moi University, Eldoret, Kenya | simonruto@gmail.com\r\nMaurice Owiny | Kenya FELTP | mowiny@feltp.or.ke','<p>Causes of Condemnations and their associated Financial Loss Estimates at Pungu Slaughterhouse in Kwale, Kenya</p>','<p>Condemnations at abattoirs cause economic losses. Some of the reasons for condemnations are diseases, infections or abnormalities that pose health risks to humans. We sought to identify organ condemnations recorded at the slaughterhouse, establish factors associated with the condemnations and estimate financial losses incurred due to condemnations.</p>','<p>This was a cross-sectional study. Cattle presented for slaughter were assigned numbers, then randomly selected. Owners of selected animals responded to questions giving details about the animal. Postmortem examinations were conducted by visualization, inspection, palpation and systematic incision of each visceral organ. Measures of dispersion and association were calculated. Assessment of financial losses was done by reviewing slaughterhouse records.</p>','<p>A total of 384 animals were sampled; Zebu breeds were 358 (93.2%), and male animals were 259 (67.5%). Of the 125 female animals, 41(32%) were pregnant. Age between &gt;2 and 6 years accounted for 225 (58.4%) of the herd. Of the condemned organs, 22 (52.4%) were lungs, 12 (28.6%) muscles, 4 (9.5%) liver, and 2 (4.8%) kidneys. Condemnation reasons were congestion 27 (7%), hemorrhage 12 (3.1%), pneumonia 10 (2.6%), and bruises 8 (2.1%). Annual loss due to condemnations was estimated to be Ksh. 2,328,550. Female animals (OR: 5.87, p-value &lt;0.001) and pregnant animals (OR: 90.78, p-value &lt;0.001) had high odds of having their organs condemned.</p>','<p>Fetal wastage contributed to financial losses significantly and not only threatens the future of the meat industry but is also an animal welfare concern. Bruised muscles and muscles with drug injection sites were condemned, indicating possible presence of drug residues in the meat. Lungs were the most condemned organ. There is need to sensitize farmers on the value of pregnancy diagnosis prior to presenting animals for slaughter.</p>','<p>Condemnation, Drug Injection Sites, Economic Losses, Abbatoir, Kenya</p>','0','0','0','0','0','0',NULL,'Reject','Rejected','Yes','<p>The abstract seems good. However, it has no connection with human disease prevention or for this conference. I did not see the zoonotic disease that can affect human health in the abstract. It talks more about the meat industry and economic loss.</p>','2025-04-26 10:13:00','2023-05-27 12:01:16',NULL,35),(832,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','ms','Emily','Kurera','female','kenya','emmzchinyavu@gmail.com','<p>Kenya FELTP</p>','alumni',NULL,'30/10/2020','advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Judith Mangeny | Moi University | nakholi2001@yahoo.com\r\nWaqo Boru | Kenya FELTP | waqogufu@gmail.com','<p>Factors Associated with the Use of Directly Observed Treatment among Tuberculosis Patients in Mombasa County, Kenya.</p>','<p>In 2019, approximately 10.4 million people suffered from Tuberculosis (TB) globally, and in Kenya, it was 558/100,000 population. Directly observed treatment for TB, short-course (DOTs) ensures people suffering from TB have equitable access to high-quality diagnosis, treatment, care, and prevention. However, factors associated with its use in Mombasa County are unknown. We sought to determine factors associated with the use of DOTs among tuberculosis patients in Mombasa County.</p>','<p>A cross-sectional study was conducted in eight TB treatment sites in Mombasa in February–April 2020. We used structured questionnaires to collect data. Continuous variables were summarized using measures of central tendency and dispersion while categorical variables were summarized by frequencies and proportions. Logistic regression was used to determine factors associated with use of DOTs. Odds ratio (OR) was used as measure of association, and Statistical significance was considered for p value &lt; 0.05.</p>','<p>A total of 369 tuberculosis patients were enrolled in the study. The mean age was 46.17 years (±14.44, and males were 223 (60.4%). Tuberculosis patients on DOTs were 328(88.9%). Seeking treatment from government facilities (Adjusted Odds Ration, aOR=1.21, 95% C.I: 0.17-8.22), absence of side effects from taking TB drugs (aOR=7.3, 95% C.I 2.02-26.29), receiving counseling on tuberculosis treatment and drugs side effects from DOTs providers (aOR=11.71, 95% C.I, 1.49- 92.12) were associated with the use of DOTs.</p>','<p>Use of DOTs among tuberculosis patients was influenced by where the first form of tuberculosis treatment was sought, getting side effects from tuberculosis drugs, and health education by DOTs providers on tuberculosis treatment. Healthcare workers should provide health education on TB treatment and encourage patients to visit the health facility for proper diagnosis and treatment of TB.</p>','<p>Tuberculosis, Direct Observation Treatment, Kenya</p>','4','4','3','4','3','4',NULL,'Accept','Poster','Yes','<p>Method: The sampling procedures were not addressed in the methods section.</p><p>In general, the abstract is well-written and can be accepted for a Poster presentation.</p>','2025-04-27 10:13:00','2023-05-27 12:15:25',NULL,35),(833,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','ms','Martha','Kotey','female','ghana','koteymarthaarkaa@gmail.com','<p>Ghana Field Epidemiology &amp; Laboratory Training Programme (GFELTP)</p>','alumni',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Samuel Dapaa| Ghana Field Epidemiology &amp;amp; Laboratory Training Programme (GFELTP) | samuel_dapaa@yahoo.com\r\nJoseph Asamoah Frimpong| Ghana Field Epidemiology &amp;amp; Laboratory Training Programme (GFELTP) | asamoah.frimpong@gmail.com \r\nMagdalene Akos Odikro | Ghana Field Epidemiology &amp;amp; Laboratory Training Programme (GFELTP) | odikrom@gmail.com\r\nSamuel Oko Sackey | Ghana Field Epidemiology &amp;amp; Laboratory Training Programme (GFELTP) | sackey492003@yahoo.co.uk\r\nErnest Kenu | Ghana Field Epidemiology &amp;amp; Laboratory Training Programme (GFELTP) | Ernest_kenu@yahoo.com','<p>Analysis of the Integrated Influenza-Like Illness/Severe Acute Respiratory Infection and Covid-19 Surveillance Data in Ghana, 2022</p>','<p>Globally, the annual estimate of influenza-associated deaths is 650,000. As of 23rd January 2022, 5,584,374 COVID-19 deaths had been reported globally, with 1442 of the deaths occurring in Ghana. COVID-19 surveillance was integrated into the ILI/SARI surveillance system in 2021. However, data from the integrated system has not been adequately analysed since the integration. We assessed the distribution of cases from the integrated ILI/SARI and COVID-19 surveillance system.</p>','<p>A secondary data analysis was conducted using national repository data collected by the integrated system from March 2021 to February 2022 at the National Influenza Centre (NIC). We extracted data into a Microsoft Excel template. We assessed case distributions by age, sex, regions and months and presented the results in tables and charts using Microsoft Excel 365 and QGIS 3.8.</p>','<p>About 10% (421/4,052) and 22% (874/4,052) cases were confirmed for influenza and COVID-19 respectively. The median age of influenza and COVID-19 was 24 years (1month – 81 years) and 31 years (1 month – 91 years) respectively. About 47% (198/421) of influenza and 45% (397/874) of COVID-19 cases were female. The highest proportion of influenza, 18% (77/421) and COVID-19 cases, 29% (257/874), were reported from the Greater Accra region. The highest proportion of influenza, 25% (104/421), was recorded in July 2021, whiles the highest number of COVID-19 cases, 28% (236/874), was recorded in December 2021. Sixteen cases had coinfections of Influenza and COVID-19. Data on treatment outcome was not available in the NIC.</p>','<p>The young and elderly were the most infected with influenza. The middle age group were most infected with COVID-19. Greater-Accra was the epicentre for influenza and COVID-19. The results of the analysis were presented to the NIC, and it was recommended to the centre to improve data quality by including treatment outcomes.</p>','<p>Influenza, COVID-19, ILI, SARI, Analysis, Ghana</p>','4','2','2','2','4','3',NULL,'Accept','Poster','Yes',NULL,'2025-04-28 10:13:00','2023-05-31 05:54:34',NULL,71),(834,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mrs','Eunice Baiden','Laryea','female','ghana','eunicenasbaiden@gmail.com','<p>Ghana Field Epidemiology and Laboratory Training Program</p>','alumni',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','P. Nortey | Department of Applied Epidemiology and Disease Control, School of Public Health, University of Ghana, Legon| panortey@gmail.com \r\nB. Gyan | Noguchi Memorial Institute of Medical Research, Immunology Department, University of Ghana, Legon | bgyan@noguchi.ug.edu.gh\r\nL. H. Ofosu-Appiah | National Public Health and Reference Laboratory, Accra, Ghana | kobyofosuappiah@yahoo.co.uk\r\nP. Dsane-Aidoo | Ghana Field Epidemiology and Laboratory Training Program | dsaneaidoo@gmail.com\r\nJ. A. Frimpong | Ghana Field Epidemiology and Laboratory Training Program | asamoah.frimpong@gmail.com \r\nD. K. Ameme | Ghana Field Epidemiology and Laboratory Training Program | amemedonne@yahoo.com \r\n S. O. Sackey | Ghana Field Epidemiology and Laboratory Training Program | sackey492003@yahoo.co.uk\r\nE. Kenu | Ghana Field Epidemiology and Laboratory Training Program| ernest_kenu@yahoo.com','<p>A post-outbreak assessment: Predictors of full measles vaccination among children aged 24 to 59 months, Atebubu-Amantin District, Ghana, 2020</p>','<p>Introduction of measles vaccines led to a 73% decreased mortality between 2000 and 2018 globally. However, about 169,000,000 children missed the first dose, leading to an estimated 140,000 deaths in 2018 worldwide. In Ghana, Atebubu-Amantin District has been experiencing focal measles outbreaks since 2016 and a major outbreak in 2018. Given that measles herd immunity is achieved as 95% vaccination coverage, we conducted this study to determine measles vaccination coverage (MVC) and factors influencing vaccination uptake in the district.</p>','<p>A cross-sectional study was conducted, using quantitative and qualitative methods from December 2019 to August 2020. We performed a two-stage cluster sampling and interviewed caregivers of 400 children aged 24-59 months in the community, using a structured questionnaire. In-depth interviews were conducted among health staff to assess health system factors influencing MVC. We estimated MVC and performed regression analyses to determine significant associations at p&lt;0.05. Qualitative data was analyzed thematically and triangulated.</p>','<p>Among the 400 children, MVC for first dose was 91.0% (364/400), while second dose was 80.0% (320/400). Caregivers in the slum had 68% (AOR=0.32, 95% CI=0.11–0.91, p=0.033) reduced odds of completing their child’s measles vaccination compared to those in the capital town. Children of traders had 96% (AOR=0.04, 95% CI=0.01–0.10, p&lt;0.001) reduced odds of completing measles vaccination compared to that of farmers. For every percentage increase in a caregiver’s knowledge on measles vaccination, the odds of completing their child’s measles vaccination increased by 6% (AOR=1.06, 95% CI=1.04–1.08, p&lt;0.001). Vaccine shortages impaired vaccination coverages while defaulter tracing and health education boosted coverages</p>','<p>Measles vaccination coverage in Atebubu-Amantin District was below herd immunity threshold. There was inequitable access to measles vaccination among children in slums. We conducted mop-up vaccinations in the district and recommended education of caregivers on measles vaccination.</p>','<p>Measles, Vaccination, Children, Atebubu-Amantin District, Ghana</p>','3','3','3','2','2','3',NULL,'Accept','Poster','Yes','<p>It was not clear how the knowledge of the caregivers was asseessed&nbsp;</p>','2025-04-29 10:13:00','2023-06-03 07:30:29',NULL,190),(835,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','Seth','Baffoe','male','ghana','slavebaffoe@gmail.com','<p>Ghana Field Epidemiology and Laboratory Training Programme</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','R. Buabeng |  Ghana Field Epidemiology and Laboratory Training Programme | nanabuabeng@yahoo.com \r\nI. Baffoe-Nyarko | Ghana Field Epidemiology and Laboratory Training Programme | banyark@yahoo.co.uk\r\nR. Osuoom | Ghana Field Epidemiology and Laboratory Training Programme | ratogm_erc@yahoo.com \r\nT Aphour | Ghana Field Epidemiology and Laboratory Training Programme | thelmaaphour@gmail.com \r\nB. Adzogble | Ghana Field Epidemiology and Laboratory Training Programme | badzobgble@yahoo.com','<p>Schistosomiasis surveillance system evaluation in Awutu Senya East Municipality, Central Region, Ghana</p>','<p>Globally schistosomiasis, a neglected tropical disease affects about 236 million people from 78 countries annually, with 85 percent of the cases coming from sub-Saharan Africa. In Ghana, the annual prevalence is about 26%. Schistosomiasis surveillance system aims to track the incidence of Schistosomiasis in order to devise effective measures for control. We evaluated the Schistosomiasis surveillance system in Awutu Senya East, Ghana to determine whether it is meeting its objectives, and to describe its attributes and usefulness.</p>','<p>The evaluation was descriptive using methods adopted from CDC-updated guidelines for evaluating public health surveillance systems. We collected primary data on surveillance operations from 21 surveillance officers, and reviewed the completeness, timeliness and quality of routine surveillance data for the district for the period 2017-2021. Frequencies and proportions were computed for quantitative data and direct content analysis was done for qualitative data.</p>','<p>Eighty-percent(17/22) of surveillance officers expressed willingness to be part of the system. Health facilities reporting to the system were 80%(34/43) and 40%(8/43) used standard case definition used. Over the period, the district recorded 330 suspected cases, 116 of the suspected cases were tested, and laboratory confirmed 107 cases (PVP-92%). Timeliness of reporting was 87%(37/43) and accuracy 80%(34/43). Surveillance data analysis led to outbreak detection in 2021. Logistics like praziquantel were in shortage at the time of the evaluation for managing cases.</p>','<p>The surveillance system is partially meeting its objectives. It is useful, representative, acceptable, and timely. Gaps identified included data quality and the use of case definition. We provided copies of case definition to be pasted in the facilities recommended to the municipal health directorate to ensure their use. Health education on schistosomiasis infection was done on a local television health program.</p>','<p>Schistosomiasis, surveillance system, evaluation, Awutu Senya East, Ghana.</p>','3','4','4','4','3','3',NULL,'Accept','Oral','Yes',NULL,'2025-04-30 10:13:00','2023-06-03 06:32:51',NULL,190),(836,'Delia Bandoh','scientific Writer (Ghana FELTP)','dbandoh@afenet.net','dr','Paul Henry','Dsane-Aidoo','male','ghana','dsaneaidoo@gmail.com','<p>Ghana Field Epidemiology and Laboratory Training Program</p>','resident',NULL,NULL,'advanced','maternal-reproductive-and-child-health','E. Baiden-Laryea | Ghana Field Epidemiology and Laboratory Training Program | eunicenasbaiden@gmail.com\r\nE. Kenu | Ghana Field Epidemiology and Laboratory Training Program | ernest_kenu@yahoo.com\r\nP. Nartey | School of Public Health, University of Ghana, Legon | panortey@gmail.com','<p>Post abortion contraception choices among women, Korle-Bu Teaching Hospital, Ghana, 2015-2019</p>','<p>Globally, 42 million pregnancies result in induced abortion annually. Up to 48% are unsafe, accounting for 13% of maternal deaths worldwide. In Ghana, unsafe abortion accounts for 6% of all maternal mortalities. Post abortion contraception (PAC) reduces the burden and effects of unwanted pregnancies and unsafe abortions. This study estimated the PAC uptake and described contraceptive methods accepted by abortion clients in the reproductive health clinic at the Korle-Bu Teaching Hospital to inform client interventions.</p>','<p>An analytical cross-sectional study design was used. We extracted secondary data from the clinic register for clients that received abortion services from January 2015 to December 2019. We excluded records of clients who reported allergy to any contraception method. Variables collected included socio-demography, obstetric and gynecologic history, and method of contraception accepted post-abortion. We de-identified data, and performed descriptive and inferential analysis to identify significant associations(p&lt;0.05) to PAC.</p>','<p>Overall, 1559 women received abortion services from 2015 to 2019, among which 7.3% (114/1553) were adolescents. Median age of clients was 28 years (Interquartile range=12-64). Grand-multiparous women (with ≥5 children) constituted 23.5% (367/1559). Up to 57.5% (884/1537) of clients accepted PAC, of which 57.1% (502/880) received long-acting contraceptive methods. Intrauterine devices 30.8% (271/880) and injectables 27.6% (243/880) were most accepted. Only 1.25% (11/880) and 0.1% (1/880) of clients had their male partners accepting male condoms and vasectomy respectively as post-abortion contraceptive options. Having one to four children (AOR=2.2, 95% CI=1.5-3.2, p&lt;0.001), and grand-multiparity (AOR=3.6, 95% CI=1.3-10.1, p&lt;0.02) were independent associated factors for accepting PAC.</p>','<p>More than half of clients accepted PAC, preferably long-acting contraceptives. Grand-multiparous women formed one-fifth of abortion clients. Few male partners received male contraception. We built the capacity of staff on targeted counselling to increase male contraception uptake. We recommended continued empowerment of women to access contraception to reduce unwanted pregnancies</p>','<p>contraception, abortion, male partner, maternal mortality, reproductive health, vasectomy</p>','3','3','4','3','3','3',NULL,'Accept','Oral','Yes','<p>The authors seem to have reported the range instead of the interquartile range as stated, \"Median age of clients was 28 years (Interquartile range=12-64).\" Kindly cross check and update.</p>','2025-05-01 10:13:00','2023-06-03 07:25:03',NULL,190),(837,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','ms','Gladys','Francis','female','kenya','gladysmutethya@gmail.com','<p>Kenya FELTP</p>','alumni',NULL,'30/10/2021','advanced','vaccine-preventable-diseases','Joseph Ogutu | GIS Kenya | josephoguttu@gmail.com\r\nAhmed Abade | Kenya FELTP | aabade@feltp.or.ke\r\nDinah Chelagat | Moi University, Eldoret Kenya | dinahchelagat@mu.ac.ke','<p>Vaccination coverage and factors associated with completion of routine vaccination among children aged between 24–35 months old, Narok East sub-County.</p>','<p>Vaccine-Preventable Diseases (VPD) have been recognized among the main threat to the life of children &lt;5 five years. Globally, about 1.5 million young children die from VPD annually. Vaccination has averted close to 3 million deaths annually. We aimed to establish factors associated with completion of routine vaccination among children aged between 24–35 months old within Narok East Sub-County.</p>','<p>A community-based cross-sectional study was conducted between May and June 2021. Children aged 24–35 months and healthcare workers providing vaccination services were enrolled. A structured questionnaire and key informant interviews were used to collect quantitative and qualitative data respectively. Descriptive statistics were used to summarize continuous and categorical variables. Bivariate and multivariate analyses were carried out to determine factors associated with vaccination completion. The odds ratio was used to measure the association between independent and dependent variables and p-value and its corresponding chi-square as a measure of statistical significance.</p>','<p>We interviewed 570 respondents; median age was 30 months (Range 24-35 months), 286 (50.2%) were males, 323 (56.7%) were born in hospital, 288(50.5%) were fully vaccinated and 559(98.1%) households had less than five children. Median age of the caregivers was 27 years (Range 12–56 years) with 343(60.2%) in the age group 25–34 years. Mothers who attended ANC were 530(93%), full immunization coverage was 51% (288). Factors independently associated with full vaccination were: place of delivery (APOR=5.96; 95% C.I 3.97–8.95); family size (APOR=1.98; 95% C.I 1.24–3.16); number of children in the household (APOR=7.47; 95% C.I 1.73–32.30) and fathers education level (APOR=3.00; 95% C.I 1.47–6.15). Outreaches were not done and inadequate vaccination staff was noted.</p>','<p>Full Vaccination remained low. Factors associated with full vaccination were place of child delivery, family size, number of children residing in a household and paternal level of education.</p>','<p>Routine Vaccination, Vaccine-Preventable Diseases, Coverage, Kenya</p>','3','3','4','2','2','4',NULL,'Reject','Rejected','Yes','<p><strong>Background:</strong></p><p>The objective of the study was addressed. However, a public health problem (rationality) that the study addressed is not well described.</p><p><strong>Method</strong>:&nbsp;</p><p>The population involved was stated. &nbsp;However, The author did not describe how 570 respondents were selected.&nbsp;</p><p><strong>Conclusion</strong>:</p><p>The interpretation of factors associated with full immunization coverage was not clear. Eg. place of child delivery (home vs government facility or private facility), family size(how many), number of children residing in a household (how many), and paternal level of education(what type level of education is associated with full vaccination?). Has no recommendation at all.</p>','2025-05-02 10:13:00','2023-05-27 12:36:22',NULL,35),(838,'Delia Bandoh','scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mrs','Doris Aboagyewaa','Edu-Quansah','female','ghana','dorisduke23@gmail.com','<p>Ghana Field Epidemiology and Laboratory Training Program</p>','resident',NULL,NULL,'advanced','public-health-systems-strengthening-initiatives','D. M. Kalala | Ghana Field Epidemiology and Laboratory Training Program | dkalalam@gmail.com \r\nB. Kijera | Ghana Field Epidemiology and Laboratory Training Program | bkkijera@gmail.com \r\nS. Baffoe | Ghana Field Epidemiology and Laboratory Training Program | slavebaffoe@gmail.com\r\nA. S. Ngegbai | Ghana Field Epidemiology and Laboratory Training Program | DRNAS88@gmail.com\r\nA. Baffour Appiah | Ghana Field Epidemiology and Laboratory Training Program | anthonybaffourappiah@yahoo.com\r\nD. A. Bandoh | Ghana Field Epidemiology and Laboratory Training Program | deliabandoh@gmail.com\r\nD. Ameme | Ghana Field Epidemiology and Laboratory Training Program | amemedonne@yahoo.com\r\nC.L Noora | Ghana Field Epidemiology and Laboratory Training Program | nooralwanga@gmail.com\r\nE. Kenu | Ghana Field Epidemiology and Laboratory Training Program | ernest_kenu@yahoo.com','<p>Hand hygiene practices among staff and students of School of Public Health, University of Ghana, Accra, 2022</p>','<p>Due to the drop of COVID-19 cases (42% from January to March, 2022), hand hygiene has seemingly dropped in institutions. Hence, we conducted this study on hand hygiene practices, knowledge and attitude among students and staff of the School of Public Health (SPH), University of Ghana, Accra for policy review.</p>','<p>We conducted analytical cross-sectional study among 106 randomly sampled staff and students at the School of Public Health, University of Ghana, Accra, on the 29th of April 2022. A pretested paper-based structured questionnaire and observational checklist were used to assess knowledge, attitude, and hand hygiene practices. A category score of &gt;60% was considered good while &lt;60%, poor. Data was summarized into frequencies and proportions using STATA version 16. Logistic regression at a p-value of &lt;0.05 was used to determine associations.</p>','<p>Out of 106 participants interviewed, 78.3% (83/106) were students. Females were 55%(58/106), and median age was 33 years (Range: 20-65) years. Staff had 2.8 odds of good knowledge compared to students (1.05-7.37). Students, 76% (63/83) had 1.4 odds towards good attitude (0.497-3.825) compared to staff, 70%(16/23). Among females, 47% (27/58) had good hand hygiene practices against 27%(13/48) males, p-value of 0.039. 19%(20/106) of the respondents indicated non-adherence to handwashing due to hand washing stations not strategically positioned 65%(13/20), and dirty water 5%(1/20). A total of 145 participants were observed for direct handwashing of which 97%(105/108) students and staff 97%(29/30) did not wash their hands. Out of the total observed participants, 1%(1/145) student used alcohol-based sanitizer. Only one handwashing station was operational, and there were no posters at the stations.</p>','<p>Staff had more knowledge and practices whereas students demonstrated good attitude towards hand hygiene. We educated interviewees and recommended to the management of SPH to sensitize both staff and students on hand hygiene, addressing its related gaps.</p>','<p>Hand hygiene, Alcohol-based sanitizer, Handwashing</p>','2','3','2','3','2','3',NULL,'Accept','Poster','Yes',NULL,'2025-05-03 10:13:00','2023-06-03 06:30:37',NULL,190),(839,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','ms','Hudatu','Ahmed','female','ghana','hahmed18@sph.uhas.edu.gh','<p>University of Health and Allied Sciences, Fred N. Binka School of Public Health, Hohoe, Ghana</p>','other',NULL,NULL,'NA','public-health-systems-strengthening-initiatives','M. Gohoho | Ghana Field Epidemiology and Laboratory Training Programme | mawuli.gohoho@ghs.gov.gh\r\nS.A. Bosoka | Ghana Field Epidemiology and Laboratory Training Programme | samuelbosoka@gmail.com\r\nI. Annobil | Ghana Health Service, Volta Regional Health Directorate, Ho, Ghana | annobillina84@gmail.com\r\nV.O. C. Unadike | University of Health and Allied Sciences, Fred N. Binka School of Public Health, Hohoe, Ghana | vcharles-unadike@uhas.edu.gh','<p>Determinants of COVID-19 vaccine uptake among students aged 15-30 years in Jasikan Municipality, Ghana, 2022</p>','<p>In 2021, more than half of confirmed COVID-19 cases in Jasikan Municipality were reported among students. The implementation of COVID-19 vaccination has significantly reduced the morbidity and mortality caused by the disease. To improve the vaccination drive, we examined the determinants of COVID-19 vaccination uptake among students in Jasikan Municipality, Ghana</p>','<p>We conducted a cross-sectional survey among 420 students from four randomly selected senior high schools in the Jasikan Municipality. We administered a structured questionnaire on socio-demographic factors, attitudes and perceived barriers towards COVID-19 and its vaccination, adverse events following immunization (AEFI), previous COVID-19 infection, adherence to COVID-19 protocols, and constructs of the health belief model. Data were analyzed using descriptive and inferential statistics. Multivariate logistic regression was performed to identify the determinants of vaccination uptake, with a significance level set at p&lt;0.05.</p>','<p>Of the 420 students, 238 (56.7%) had received at least one dose of COVID-19 vaccine, 232 (55.2%) were fully vaccinated, and 174 (73.1%) received a booster dose. Majority of those who received a vaccine (92%, 220/238) experienced AEFIs, with pain at the injection site (45.9%) and general body weakness (33.2%) being the most common. The school attended by students (aOR=0.29, 95% CI 0.16 – 0.55), adherence to social distancing (aOR=2.06, 95% CI 1.11 – 3.83), students’ attitudes (aOR=1.07, 95% CI 1.01-1.14), and perceived barriers (aOR=0.94, 95% CI 0.89 - 0.98) towards COVID-19 vaccination were significant determinants of vaccine uptake.</p>','<p>COVID-19 vaccine uptake among students was moderately high, with determinants including the type of school attended, adherence to social distancing protocol, attitude, and perceived barriers towards COVID-19 vaccination. Also, pain at injection site and general body weakness were the most commonly reported AEFIs. Teachers and healthcare providers should provide education to address misconceptions and concerns surrounding COVID-19 vaccination and AEFIs, to help improve vaccine uptake among students.</p>','<p>COVID-19 vaccine uptake, AEFIs, Students, Jasikan, Ghana</p>','4','4','4','4','4','4',NULL,'Accept','Oral','Yes','<p>A good abstract</p>','2025-05-04 10:13:00','2023-05-14 08:42:47',NULL,16),(840,'Delia Bandoh','scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','Simon Effah','Adjei','male','ghana','adjeisimon2@gmail.com','<p>Ghana Health Service, Upper East, Ghana</p>','alumni',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','R. A. Asante | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP), Legon | angeasante@yahoo.com\r\nS. O. Sackey | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP), Legon | sackey492003@yahoo.co.uk\r\nJ. Nyuzaghl |  Ghana Health Service, Upper East, Ghana  | jnyuz@yahoo.co.uk\r\nE Kenu | Ghana Field Epidemiology and Laboratory Training Programme (GFELTP), Legon | Ernest_kenu@yahoo.com','<p>Descriptive Characterization of Yellow Fever Cases in Upper East Region, Ghana, 2022</p>','<p>Globally, an estimated 200,000 cases of Yellow Fever (YF) are recorded yearly. YF is endemic in Ghana and is associated with severe disease in approximately 15% of cases with a high case fatality. Periodic analysis of surveillance data is key to evaluate the impact of interventions needed to develop strategies to prevent future outbreaks. We described the epidemiological characteristic of yellow fever cases from 2017 to 2021 to inform interventions in the Upper East Region of Ghana.</p>','<p>We conducted secondary data analysis of YF surveillance data spanning from 2017 to 2021. Data was extracted from Upper East Regional YF line list. Descriptive measures such as frequencies, median, range and proportions and incidence rate were analyzed using Microsoft Excel 2019. This was presented in tables and graphs. Quantum Geographic Information System (QGIS) was also used to generate map to depict distribution of cases in the region.</p>','<p>A total of 546 suspected cases were reported with 0.4% (2) being positive. YF outbreaks occurred in August and October in 2018 and 2021 respectively. The trend of incidence rate increased from 59.2/1,000,000 population in 2017 to 128.3 per 1,000,000 in 2021. About 60.8% (332/546) male were affected with 32.2% (176/546) of age group 0-4 years mostly affected. Majority, 20.7% (113/546) of the cases was recorded in Pusiga district. YF vaccination coverage was 71.4% (34,750/48,667) in 2017 and 86.0% (44,747/52,049) in 2021, below the 95% National Expanded Programme on Immunization (EPI) target.</p>','<p>There was an increasing trend of YF cases from 2017 to 2021. Majority of cases were males and the most affected age group was children aged, 0-4 years. Pusiga district had the highest cases with the Upper East Regional YF vaccination coverage below target. We recommend periodic EPI mop-ups on YF to improve vaccination coverage especially in districts with low coverage.</p>','<p>Yellow Fever, Upper East Region, Surveillance</p>','4','4','4','3','4','4',NULL,'Accept','Poster','Yes','<p>Needs to state conclusion based on study findings.&nbsp;</p>','2025-05-05 10:13:00','2023-05-14 08:46:58',NULL,16),(841,'Otshudiandjeka Joseph','Resident Advisor','jotshudiandjeka@afenet.net','dr','Abolou','Abissey Charles L.','male','ivory-coast','charleslandryabolou@gmail.com','<p>Région sanitaire de Gontougo</p>','alumni',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Joseph Otshudiandjeka, AFENET, jotshudiandjeka@afenet.net\r\nPierre Wilnique, AFENET, wpierre@afenet.net \r\nIssaka Tiembre,  Institut National d\'Hygiène Publique, itiembre@yahoo.fr\r\nJoseph Bénie Bi Vroh, Institut National d\'Hygiène Publique, beniebi2018@hotmail.com','<p>Toxi-infection alimentaire collective à Bondoukou, Côte d’Ivoire, Janvier 2023</p>','<p>Une Toxi-Infection Alimentaire Collective (TIAC) est l’apparition, rapprochée de symptômes, plus souvent digestifs, sur au moins deux personnes ayant consommé un repas identique. Le 30 janvier 2023, le district sanitaire de Bondoukou a été alerté par le Centre Hospitalier Régional, d’un cas de TIAC. Une équipe du district et de la région ont mené une investigation afin de décrire la situation, identifier l’agent causal et proposer des mesures de prévention et de contrôle.</p>','<p>Une Etude descriptive a été menée. Les définitions de cas ont été adaptées de la surveillance intégrée des maladies et riposte (SIMR). Les données recueillies dans les registres des centres de santé de Bondoukou et dans la résidence familiale des cas. Les variables sociodémographiques et cliniques collectés. Des échantillons de selles et de sang prélevés. Les données ont été saisies et analysées sur Excel et Epi-Info 7.2.</p>','<p>Au total 10 personnes ont pris un repas, quatre ont présenté symptômes, taux d’attaque 40% (4/10). Un décès avec taux de létalité 25%(1/4). L’âge médian de 32 ans (13-47). Le sexe ratio est de 3 (3 hommes pour une femme). La personne décédée, homme de 47 ans. La durée médiane d’incubation de 2 jours. Les symptômes présentés étaient douleurs abdominales 100% (4/4), vomissements 75% (3/4), fièvre, diarrhées et déshydratation 50% chacun, soit (2/4). Les cas habitaient la même cour. L’examen cytobactériologique des selles a mise en évidence la présence d’Escherichia Coli. Aucun reste d’aliments n’a été trouvé pour prélever.</p>','<p>Aucune source de contamination n’a été trouvée, malgré la forte suspicion du repas servi. Confirmation d’Escherichia. Coli comme cause de la TIAC. Adoption d’une bonne hygiène des produits alimentaires, bonne préparation et conservation des aliments. Conduire d’une étude supplémentaire sur les facteurs de risque et préparer les équipes aux prochaines situations.</p>','<p>Investigation, Toxi-infection, Bondoukou, Cote d’Ivoire</p>','3','2','4','3','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-05-06 10:13:00','2023-06-04 22:01:27',NULL,145),(842,'Otshudiandjeka Joseph','Resident Advisor','jotshudiandjeka@afenet.net','dr','MY','Serge De Lamourd','male','ivory-coast','sergedelamourd@gmail.com','<p>Région sanitaire de la Nawa</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Soro Moussa, Région sanitaire de San-Pedro, kounansoro@gmail.com\r\nWilnique Pierre, AFENET, wpierre@afenet.net \r\n Otshudiandjeka Joseph, AFENET, jotshudiandjeka@afenet.net\r\nIssaka Tiembre,  Institut National d\'Hygiène Publique, itiembre@yahoo.fr\r\nBénie Bi Vroh Joseph, Institut National d\'Hygiène Publique, beniebi2018@hotmail.com','<p>Profil épidémiologique des accidents de la voie publique dans la région sanitaire de la Nawa, côte d’ivoire, janvier 2020 à juillet 2022</p>','<p>Les accidents de la voie publique (AVP) constituent un problème majeur de santé publique du fait de leur incidence et de leur gravité dans les pays en voie de développement. Environ 90% des décès et des incapacités résultent des AVP dans ces pays. En Côte d’Ivoire, l’Office de Sécurité Routière recense en moyenne 4940 accidents/an, avec 10111 blessés et 593 décès. La Nawa connait depuis ces dernières années une augmentation des AVP avec l’avènement des engins à deux roues. Le fardeau des AVP reste inconnu. D’où l’analyse des données d’AVP en vue d’élaborer la politique de prévention et de contrôle des accidents.</p>','<p>Une étude descriptive transversale a été menée. Les données d’AVP pour la période du 01 janvier 2020 au 31 juillet 2022 ont été collectées des registres d’urgences des hôpitaux généraux de la Nawa. Les variables d’intérêts : sociodémographiques, cliniques, chronométrique et de véhicules. Les données saisies sur Excel et analysées sur Epi-Info 7.2.4.0.</p>','<p>2 073 cas d’AVP ont été enregistrés. L’âge médian 21 ans (15 -70). la tranche d’âge 16 à 29 ans était la plus représentée (39,5%). Ratio Homme/Femme 3,88. Les victimes majoritairement des Ouvriers (33.9 %) et statut célibataire (60,9 %). Les engins impliqués : moto seule par dérapage(29,9%) et moto-moto (24,5 %). 72% des AVP survenaient pendant la journée (6h-18h). Les lésions observées : plaies et écorchures (41,1 %), traumatismes crâniens (17,5%). La prévalence des AVP dans la région était de 36,7 cas/100 000 habitants avec létalité de 1%.</p>','<p>Prévalence élevée d’AVP dans la Nawa. Les jeunes adolescents masculins sont les plus touchés et la moto par dérapage était le mécanisme le plus rapporté, plaies et écorchures majoritaires. Besoin de sensibiliser les chauffeurs et passagers à Moto et renforcer la sécurité routière dans la région.</p>','<p>Accident voie publique ; surveillance épidémiologique ; Région Sanitaire Nawa.</p>','3','2','3','3','3','3',NULL,'Accept','Poster','Yes','<p><strong>En français:&nbsp;</strong></p><p>Les Acidents de la Voie Publique (AVP) reste effectivement un problème de santé publique.</p><p>Il est important d\'intensifier les travaux pouvant nous permettre de sensibiliser les jeunes surtout le sexe masculin qui est le plus touché. Mais, je pense que l\'état de l\'engin, de route et du conducteur pouvait aussi nous donner plus d\'information. Malheureusement, la revue documentaire de registre des hôpitaux ont été utilisés pour collecter les données. Une enquête plus serieuse pouvait nous donner de bonnes orientations.</p><p><strong>In english:</strong></p><p>Public Road Acids remain a public health problem.\r\nIt is important to intensify the work that can enable us to sensitize young people, especially the male sex, which is the most affected. But, I think the state of the machine, road and driver could also give us more information. Unfortunately, literature review of hospital registers were used to collect the data. A more serious investigation could give us good directions.</p><p>&nbsp;</p>','2025-05-07 10:13:00','2023-05-15 20:14:05',NULL,131),(843,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','dr','Charles','Mulwa','male','kenya','claycmm6@gmail.com','<p>Kenya FELTP</p>','alumni',NULL,'30/10/2021','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Ahmed Abade | Kenya FELTP | aabade@feltp.or.ke\r\nDiana Menya | Moi University, Eldoret, Kenya | dianamenya@gmail.com','<p>Factors associated with Mortality among Patients with Severe Covid-19 in Nairobi Metropolis, Kenya</p>','<p>Severe COVID-19 disease occurs in 20% of hospitalized patients. Many of these patients have underlying conditions that could contribute to COVID-19 mortality. We sought to identify factors associated with mortality in patients with severe COVID-19 disease in Nairobi Metropolis, Kenya.</p>','<p>We conducted cross-sectional study in Nairobi Metropolis between September to December 2021. We abstracted case patient information from the registers of selected hospitals with COVID-19 isolation centres. The information included demographic and clinical information and case management. Any patient who had severe COVID-19 infection and died was defined as COVID-19 mortality while those discharged upon cure were Covid-19 survivors. Means and medians were calculated for continuous variables and frequencies and proportions for categorical variables. We used logistic regression to compare exposure factors with death outcome.</p>','<p>We abstracted 818 patient records; 500 being severe patients (153 non-survivors, 347 survivors). Analysis involved 150 non-survivors and 150 survivors. Males were 66.8%, and a mean age of 53.29 years ± 17.7. Sixty-four (64.3) percent presented with difficulty breathing, while 63.7% had a cough. Patients with SPO2 concentration of ≤94% were 39.9% at admission, rising to 90.0% during isolation. Patients with underlying diabetes were 29.3%, while hypertension/heart disease was 28.3%. Patients that developed acute respiratory distress syndrome (ARDS) were 26.0%. Patients put on oxygen therapy were 28.3%, mechanical ventilation 19.3%, and Intensive Care Unit admissions were 3.7%. Hypertension (OR: 3.5, 95% CI: 1.34–9.45); ARDS (OR: 8.9, 95% CI: 3.05–26.14); severe disease at admission (OR: 18.7, 95% CI: 5.24–67.15); and failure to receive oxygen treatment (OR- 17.5, 95% CI- 5.54–55.32) were significantly associated with death were.</p>','<p>Difficulty in breathing was a common symptom while hypertension was associated with death. We recommend additional attention to the identification and treatment of all patients with comorbidities and severe COVID-19 disease.</p>','<p>Covid-19, Mortality, Comorbidity, Hypertension, Kenya</p>','4','4','3','3','4','4',NULL,'Accept','Oral','Yes','<p>Result: Some abbreviations were technical and need to be written in full Word for the first time it used. eg. SPO2</p><p>Generally, the abstract was written well and clearly. I recommend it to be presented as an oral presentation.</p>','2025-05-08 10:13:00','2023-05-27 12:54:22',NULL,35),(844,'Maurice Owiny','Scientific Writer','mowiny@feltp.or.ke','mr','David','Waweru','male','kenya','wawerudtlc@gmail.com','<p>Kenya FELTP</p>','resident',NULL,NULL,'frontline','hiv-aids-tuberculosis-and-other-opportunistic-infections','Maryanne Gachari | Kenya FELTP | gacharimaryanne@gmail.com\r\nMaria Nunga | Kenya FELTP | mnunga@feltp.or.ke','<p>Description of Extra-pulmonary tuberculosis Patients at Kiharu Sub County Muranga County Kenya</p>','<p>According to the clinical manifestation, tuberculosis (TB) is divided into pulmonary (PTB) and extra-pulmonary tuberculosis (EPTB). There is limited information on the epidemiology of EPTB. Although EPTB is less frequent than pulmonary TB, its significance has increased worldwide during the HIV epidemic. The study was performed with the aim to describe demographic characteristics, clinical manifestations of EPTB patients in Kiharu Sub County Muranga County.</p>','<p>A retrospective case series was conducted at Kiharu Sub County. All cases diagnosed and treated for extra-pulmonary tuberculosis (EPTB) between 2017 – 2020 were included. EPTB encompassed pleural, lymphatic, bone or joint, meningeal and unclassified EPTB cases. Demographic characteristics, age, sex, infection sites, including human immunodeficiency virus (HIV) status were analyzed. Data were retrieved from tuberculosis information for basic unit (TIBU) on demographic, clinical, and HIV status.</p>','<p>A total of 187 patients treated for EPTB were identified. The mean age of patients was 37±17 years and males tended to be more likely to have any form of extra-pulmonary tuberculosis(56%). The strength of association was strongest in the age range of 31-40 years and less pronounced amongst old patients. Pleura was the most common site involved (34%), followed by meninges (20%), and skeleton (18%) . Central nervous system manifestation was common in females (24%). HIV coinfection was at (24%).</p>','<p>The study provides insight into demographic, clinical manifestation and HIV status among EPTB patients. Surveillance on extra-pulmonary TB is an important part of TB surveillance with signicant value in TB control.</p>','<p>Extrapulmonary Tuberculosis, HIV Coinfection, Kenya</p>','3','3','3','3','2','3',NULL,'Reject','Rejected','Yes','<p>Generally, as a frontline output, the author has tried his/her best and is appreciated.</p><p><strong>Method</strong>: \'Retrospective case series\' is Not clear. I think the number of patients was about 187 and more than the case series (most of the time in epidemiology case series: 5-12).</p><p><strong>Result</strong>:</p><p>The author has tried to describe the EPTB. I could not see any research hypothesis in the description. &nbsp;There is no data indicating \'The strength of association was strongest in the age range of 31-40 years\'.</p><p><strong>Public health significance:</strong></p><p>There is no additional scientific evidence contributed rather than a simple description of the EPTB.</p><p>Based on the scientific conference audience, the description of PTB is less significant.</p>','2025-05-09 10:13:00','2023-05-27 13:58:14',NULL,35),(845,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','Dennis','Jubin','male','ghana','dennisjubin82@yahoo.com','<p>Ghana Health Service, Takoradi</p>','alumni',NULL,'15/12/2022','intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','G. Akowuah | Ghana Field Epidemiology and Laboratory Training Programme, University of Ghana, Accra | cirjorge@gmail.com\r\nM.A. Odikro | Ghana Field Epidemiology and Laboratory Training Programme, University of Ghana, Accra | odikrom@gmail.com\r\nJ. A. Frimpong | Ghana Field Epidemiology and Laboratory Training Programme, University of Ghana, Accra| asamoah.frimpong@gmail.com\r\nS. Sackey | Ghana Field Epidemiology and Laboratory Training Programme, University of Ghana, Accra | sackey492003@yahoo.co.uk\r\nE Kenu | Ghana Field Epidemiology and Laboratory Training Programme, University of Ghana, Accra | Ernest_kenu@yahoo.com','<p>Epidemiological analysis of acute flaccid paralysis surveillance data following three polio outbreaks – Western Region, Ghana, 2022</p>','<p>One in 200 infectious of polio leads to permanent paralysis. The re-emergence of polio and sporadic outbreaks in countries calls for heightened surveillance. The western region of Ghana has recorded outbreaks in three districts. We assessed AFP surveillance indicators in Western Region against WHO standards and described AFP by person, place and time to inform interventions.</p>','<p>Routine AFP case-based surveillance data for Western Region from 2017-2021 was analyzed. Age, sex, districts, date of onset, vaccination status and laboratory feedback were extracted from e-line lists. Data was cleaned and analyzed into frequencies, proportions, and rates using Microsoft Excel 365, Epi Info and QGIS and compared to WHO targets. Results were presented in tables, maps and chart.</p>','<p>From 2017 to 2021, 300 AFP cases were recorded. Majority, 86.3% (259/300) of the cases were investigated within 14 days of onset of paralysis. Non-polio AFP rate ranged from 2.9 to 5.9/100,000 population. Averagely, 88% (265/300) timeliness and 83% (251/300) stool adequacy were achieved compared to WHO target of &gt; 80%. Median age of cases was 3 (range: 1 – 46) years. Majority, 74% (222/300) of the cases were under five years and more than 54% (163/300) were males. Three cases of circulating Vaccine Derived Polio Virus type2 (cVDPV2) was recorded in Sekondi Takoradi, Tarkwa Nsuaem and Jomoro districts in 2020. Vaccination coverage for OPV and IPV were below 90%.</p>','<p>All AFP surveillance indicators per WHO standards were met. About three quarters of AFP cases were below five years whilst more than half were males. Achieving WHO targets is essential to surveillance, however, if a single child remains infected with polio, children in all countries are at risk of contracting polio. Given that three polio outbreaks were recorded over the period, mass vaccination of all eligible population in the region is recommended.</p>','<p>AFP, Polio, cVDPV2, surveillance, Ghana</p>','4','4','4','4','4','4',NULL,'Accept','Oral','Yes','<p>A good abstract</p>','2025-05-10 10:13:00','2023-05-14 08:49:33',NULL,16),(846,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','Ishmael K.','Alhassan','male','ghana','ishmeal0089@gmail.com','<p>Wa Municipal Hospital, Ghana</p>','alumni',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','G. Akowuah | Ghana Field Epidemiology and Laboratory Training Program (GFELTP) | cirjorge@gmail.com \r\nM. Odikro | Ghana Field Epidemiology and Laboratory Training Program (GFELTP)| odikrom@gmail.com\r\nJ. A. Frimpong | Ghana Field Epidemiology and Laboratory Training Program (GFELTP) | asamoah.frimpong@gmail.com\r\nS. Sackey | Ghana Field Epidemiology and Laboratory Training Program (GFELTP) | sackey492003@yahoo.co.uk\r\nE Kenu | Ghana Field Epidemiology and Laboratory Training Program (GFELTP) | Ernest_kenu@yahoo.com','<p>Evaluation of novel coronavirus disease surveillance system – Wa Municipal, Upper West Region, 2022</p>','<p>Following the declaration of COVID-19 pandemic, Ghana has confirmed 171, 412 cases. Ghana established a COVID-19 surveillance sytem in 2020. Two years post implementation, the surveillance system in Wa Municipality has not been evaluated. The COVID-19 surveillance system was evaluated to determine if the system is meeting its objectives of detection and monitoring of trends, usefulness and attributes.</p>','<p>A descriptive cross-sectional study design was conducted in Wa Municipality covering 2020 to 2022. We interviewed key stakeholders using a semi-structured questionnaire based on the CDC guidelines for evaluating public health surveillance systems. Observations were made on system’s activities. COVID-19 case-based forms and linelists were reviewed. Attributes were scored on a scale of poor, moderate, or good performance. Data were analysed into frequencies and proportions using Microsoft Excel 2016 with results presented in tables, graphs and text.</p>','<p>The system detected 1,227 cases with 27.1% (332/1,227) positives. There was no evidence of regular analysis of data. All surveillance staff interviewed were able to cite the case definition correctly. Data was reported from all surveillance sites. Can only be confirmed my molecular assay. Mean-time between symptoms onset and health facility visit was 4 days. Case investigation forms were 54% (81/150) complete; only 12.7% (19/150) of cases entered were into the national database. The system adapted to a modification in the case definition to include travel history. It was integrated with Tuberculosis surveillance system and lacked adequate funding.</p>','<p>The COVID-19 surveillance system in Wa Municipal was useful and partially met its set objectives. It was sensitive, timely, flexible, representative, acceptable and complex. Predictive value positive (PPV), stability and data quality were poor. Ghana Health Service should develop a sustainability plan and conduct in-service training on data analysis.</p>','<p>COVID-19, Surveillance, Evaluation, Wa Municipality, Ghana</p>','3','3','3','3','3','3',NULL,'Reject','Rejected','Yes','<p>Methods were good but conclusion went beyond results presented.</p>','2025-05-11 10:13:00','2023-05-14 08:54:08',NULL,16),(847,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','ms','Emma D.','Forley','female','ghana','emforley@gmail.com','<p>Ghana Health Service, Central Region, Cape Coast</p>','alumni',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','R. A. A. Kusi | Ghana Field Epidemiology and Laboratory Training Programme| angeasante@yahoo.com\r\nM.A.  Odikro | Ghana Field Epidemiology and Laboratory Training Programme  | odikrom@gmail.com\r\nJ. A. Frimpong | Ghana Field Epidemiology and Laboratory Training Programme | asamoah.frimpong@gmail.com\r\nS. Sackey | Ghana Field Epidemiology and Laboratory Training Programme| sackey492003@yahoo.co.uk\r\nE. Kenu | Ghana Field Epidemiology and Laboratory Training Programme | Ernest_kenu@yahoo.com','<p>Evaluation of anaemia in pregnancy surveillance system, Central Region, Ghana - 2022</p>','<p>Anaemia in pregnancy is associated with adverse health outcomes such as miscarriages and maternal mortality. In 2020, national prevalence of anaemia among antenatal registrants in Ghana was 35% with Central region recording 43%. We evaluated the anaemia in pregnancy surveillance system in the Central Region to determine if its objectives of detecting anaemia among pregnant women and providing information that guides actions to eliminate it were being met, assess the attributes and usefulness.</p>','<p>A descriptive cross-sectional study was employed adapting the updated CDC Guidelines for Surveillance System Evaluation for 2017 to 2021. Data was collected through records review, observations and face-face interviews of key stakeholders using a semi-structured questionnaire. Data was analyzed as frequencies and proportions and results presented as chart and table. The attributes were rated poor if 80% indicators were met.</p>','<p>Across the 22 districts in the region, 434,106 pregnant women were registered. Of these 90.9%(394,615/434,106) and 87.7%(176,085/200,876) were screened for Hb at registration and 36-weeks’ gestation respectively. Anaemia prevalence was 42.2%(166,605/434,106) for first time registrants and 38.9%(68,582/176085) for women at 36-weeks’ gestation. The system allowed addition of new variables though inadequate resource was observed for its operation. All 22 district reports were completed and sent to the next level before 25th of the ensuing month. Reported data reviewed had inconsistencies 14.1%(694/4,920). The system prompted health education and nutrition counseling interventions.</p>','<p>The anaemia in pregnancy surveillance system in the Central region was useful and meeting its objectives. The system was timely, acceptable, representative, sensitive, fairly flexible, with poor data quality. Findings were shared with the Central Regional Health Directorate and we recommended a training of staff involved in the anaemia in pregnancy surveillance system to enhance data quality.</p>','<p>Anaemia, Pregnancy, Surveillance, Central Region</p>','4','4','3','3','4','3',NULL,'Accept','Poster','Yes','<p>Although the conclusion went beyond results, the area is of public health significance.</p>','2025-05-12 10:13:00','2023-05-14 08:59:23',NULL,16),(848,'Delia Bandoh','Scientific Writer (Ghana FELTP)','dbandoh@afenet.net','mr','Benedict','Adzogble','male','ghana','badzogble@ug.edu.gh','<p>Ghana Field Epidemiology and Laboratory Training Program</p>','resident',NULL,NULL,'advanced','non-communicable-diseases-ncds-injuries-and-mental-health','G. A. Ocansey | Ghana Field Epidemiology and Laboratory Training Program | graceadjoas@gmail.com\r\nG. Saffa | Ghana Field Epidemiology and Laboratory Training Program | gbessaysaffa0022@yahoo.com\r\nW. Nsemani | Ghana Field Epidemiology and Laboratory Training Program | nsemaniwilliam@gmail.com\r\nC. Maasoyeel | Ghana Field Epidemiology and Laboratory Training Program | maasoayelchristopher@gmail.com\r\nC. L. Noora | Ghana Field Epidemiology and Laboratory Training Program | nooralwanga@gmail.com\r\nD. Ameme | Ghana Field Epidemiology and Laboratory Training Program | amemedonne@yahoo.com\r\nR. O. Mills | Ghana Field Epidemiology and Laboratory Training Program | richael.mills@ucc.edu.gh\r\nE. Kenu | Ghana Field Epidemiology and Laboratory Training Program | ernest_kenu@yahoo.com','<p>Availability and appropriate use of personal protective equipment by housekeeping staff in University of Ghana halls of residence, 2022</p>','<p>Respiratory, dermatological and musculoskeletal diseases are the leading working hazards among housekeeping stuff, each shown to be facilitated by the inappropriate use of PPE. Though rooming/boarding staff contribute to about 20% of housekeeping staff globally, there is dearth in literature on the use of PPE among rooming/boarding housekeeping staff in Ghana. This study assessed the availability and appropriate</p>','<p>A cross sectional study was carried out on 27th April 2022 at 16 halls of residence in the University of Ghana. We used a structured questionnaire to collect data on sociodemographic characteristics, knowledge, appropriate use, training on the use of PPE, and the risks of contracting an infection using structured questionnaire. The data was analyzed using descriptive statistics. The analyzed data was reported using frequency, tables, and graphs.</p>','<p>Among 141 housekeepers interviewed, the median age was 36 years (range: 21-60) with females accounting for 92.2% (130/141). Housekeepers who did not have PPE available during the study were 48.23% (73/141). Housekeepers who had knowledge on PPE usage was 60% (85/141) whilst 83.70% were trained on appropriate PPE usage. Knowledge on the risk of infection whilst working was 70%. Housekeepers who wore gloves during work was 27.7% (39/141) whilst 4.25% (6/141) changed gloves between rooms.</p>','<p>Majority of housekeepers were women. The study found that housekeepers do not mostly use PPE during work. As a result of this study the managers of halls of residence has provided most of the housekeepers with PPE. Bi-annual refresher training for housekeepers on the appropriate use of PPE and to increase PPE use oversight, assign rewards or penalties based on PPE use at work was recommended.</p>','<p>Personal protective equipment, housekeepers, University of Ghana, hall of residence</p>','1','2','2','2','3','2',NULL,'Reject','Rejected','Yes','<p>Background: incomplete study objective</p><p>Methods: Was any multivariate analysis done?</p>','2025-05-13 10:13:00','2023-06-04 19:20:47',NULL,50),(849,'Kasongo Kayembe Jolie','FETP Guinée','jkayembe@afenet.net','mr','Kamus','BEAVOGUI','male','guinea','kamusbea1987@gmail.com','<p>GuiFETP</p>','alumni',NULL,'25/11/2022','intermediate','vaccine-preventable-diseases','Jolie Kasongo Kayembe, AFENET, jkayembe@afenet.net\r\nNouonan Gbamou, MOH, gbamougb76@gmail.com\r\nSalomon Corvil, AFENET, scorvil@afenet.net\r\nFodé Amara Traoré, MOH, fodistet@yahoo.fr','<p>Profil épidémiologique du tétanos maternel et néonatal dans le district sanitaire de Kouroussa 2017-2021</p>','<p>La Guinée comptait éliminer le Tétanos néonatal d’ici 2021. Kouroussa n’a pas bénéficié de la campagne contre le Tétanos de 2021 car n’étant pas classé à haut risque d’après l’analyse de risque de 2020. Aucune analyse antérieure réalisée, cette analyse était pour confirmer la classification et situer le district par rapport à l’élimination du TMN afin d’orienter les actions de santé publique.</p>','<p>Une étude descriptive d’incidence était menée de 2017 à 2021. Les définitions des cas du TMN du guide SIMR et populations des naissances vivantes étaient utilisées. Les données étaient extraites de DHIS2. Etaient calculées fréquences, incidence, médiane, étendue en EPI Info 7.2.</p>','<p>Quarante-neuf cas suspects étaient notifiés, tous (100%) confirmés. Quarante-huit (98%) étaient hospitalisés, 13(27%) étaient décédés et ripostés. Tous les cas (100%) tétaient normalement deux jours après la naissance et avaient refusé de téter et avaient de la fièvre, 40(82%) avaient convulsé, 22(44%) avaient le hoquet. L’âge médian : 7 jours (6 -17 jours), 27(66,7%) étaient garçons. Trente-un (63%) étaient nés à domicile, 40 (82%) avaient bénéficié des soins du cordon ombilical avec produits inconnus, 30 (61%) des mères n’avaient réalisé aucune CPN et n’avaient reçu aucune dose de VAT/Td. L’incidence annuelle de TNN : 0,5 en 2017 à 1 cas/ 1000 naissances vivantes en 2021. Quatorze (28,5%) cas provenaient de Douako. La couverture td2+ variait de 44% en 2018 à 81% en 2021.</p>','<p>Kouroussa est à haut risque du TMN avec une allure à la hausse de l’incidence annuelle. Douako a notifié de cas avec faible couverture vaccinale en td2+. La restitution des travaux de terrain, la supervision et suivi de la riposte ont permis la dimunition de l’incidence. L’harmonisation des données entre niveau central et le district, l’inclusion de Kouroussa dans le plan d’élimination du Tétanos sont des recommandations.</p>','<p>Profil, épidémiologique, TNN, Kouroussa, Guinée</p>','3','4','4','3','4','3',NULL,'Accept','Oral','Yes',NULL,'2025-05-14 10:13:00','2023-05-29 11:17:53',NULL,55),(850,'Kasongo Kayembe Jolie','FETP Guinée','jkayembe@afenet.net','mr','Lanciné','KEITA','male','guinea','ccstanene@gmail.com','<p>GuiFETP</p>','alumni',NULL,'25/11/2022','intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Claude Ngona Mandro, AFENET, claudemandro@gmail.com\r\nAbdoulaye Sadio Baldé, AFENET, abdoulayesb428@gmail.com\r\nNouonan Gbamou, MOH, gbamougb76@gmail.com\r\nSalomon Corvil, AFENET, scorvil@afenet.net\r\nJolie Kasongo Kayembe, AFENET, jkayembe@afenet.net\r\nFodé Amara Traoré, MOH, fodistet@yahoo.fr','<p>Profil épidémiologique de la COVID-19, district sanitaire de Boké, 29 Mars 2020 au 31 Décembre 2021</p>','<p>Des 31 641 cas confirmés de COVID-19 et 691 décès notifies en Guinée, Boké a notifié 1 042 cas confirmés dont 6 décès. Pour déterminer chez qui et où prédominent les cas ainsi que les personnes les plus à risque de mourir de COVID-19, cette analyse est faite afin d’orienter la vaccination.</p>','<p>Une étude descriptive d’incidence a été réalisée. Les bases de données DHIS2. Les définitions de cas de l’OMS ont été adoptées. Les caractéristiques sociodémographiques, cliniques et les facteurs de risques ont été décrites. Fréquence, taux d’attaque, taux de létalité (TL), médiane et étendue ont été calculées avec Epi info7.2.</p>','<p>Au total 1 042 cas confirmés Covid-19 notifiés dont 6 décès (TL: 0,57%). Des 1 042 cas, 323 (37,6%) étaient symptomatiques dont 273 (84,5%) étaient des cas légers, 28 sévères (8,7%) et 21 (6,5%) modérés. L’âge médian : 34 ans (1-102) et tranche d’âge 30 à 39 ans était la plus touchée 589/100 000. Des 6 décès, 5 (2,44%) étaient de 50 ans et plus et 3 (50%) diabétiques. Le TL était de 2,44% chez les 50 ans et plus contre 0,63 % chez &lt; 50 ans faisant un risque de 3,9 fois plus élevé chez les 50 ans et plus. Le TL était de 23% chez les personnes ayant une comorbidité contre 0,29% chez les non comorbides pour un risque de 79 fois plus. La sous-préfecture de Tanènè était la plus touchée 428/100 000.</p>','<p>La majorité des cas présentait des symptômes légers. Les adultes jeunes et les hommes étaient les plus touchés tandis la létalité était élevée chez les 50 ans et plus et les diabétiques. La sous-préfecture de Tanènè était la plus touchée. Prioriser la vaccination chez les 50 ans et plus ainsi que chez les personnes avec comorbidité.</p>','<p>Profil , épidémiologique, COVID-19, Boké,</p>','3','3','2','3','2','2',NULL,'Accept','Poster','Yes',NULL,'2025-05-15 10:13:00','2023-05-29 11:20:54',NULL,55),(851,'Kasongo Kayembe Jolie','FETP Guinée','jkayembe@afenet.net','dr','Abdourahmane','Baldé','male','guinea','baldekeb@yahoo.fr','<p>GuiFETP</p>','alumni',NULL,'25/11/2022','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Claude Ngona Mandro, AFENET, claudemandro@gmail.com\r\nSidate Sékou Sylla, MOH, sidate2006@gmail.com\r\nNouonan Gbamou, MOH, gbamougb76@gmail.com\r\nSalomon Corvil, AFENET, scorvil@afenet.net\r\nJolie Kasongo Kayembe, AFENET, jkayembe@afenet.net\r\nFodé Amara Traoré, MOH, fodistet@yahoo.fr','<p>Investigation de cluster de Covid-19 à l’hôpital préfectoral de Fria, Guinée, Janvier 2022</p>','<p>A la date du 28/12/2021, une infirmière de l’hôpital préfectoral de Fria a été testée positive par test rapide à la COVID-19. Sachant que 80% des cas de covid-19 sont asymptomatiques, une investigation approfondie a été menée pour déterminer l’ampleur de la flambée afin de mettre en place des mesures de prévention et contrôle.</p>','<p>Une étude de série de cas a été réalisée du 05 au 12 janvier 2022. Les définitions standards du guide technique de surveillance de Covid-19 de Guinée ont été utilisées. Les caractéristiques cliniques et sociodémographiques ont été collectées. Epi Info 7.2 a permis de calculer : médiane, étendue, proportion.</p>','<p>Sur les 36 cas, 20 (55.6%) étaient symptomatiques dont 11 (55%) avaient des symptômes légers et neuf (45%) des symptômes modérés. La toux 13(36%), céphalées 12 (33%), écoulement nasal 12 (33%) et douleur musculaire 11(31%) étaient les principaux symptômes. L’âge médian était de 27,5 ans (18 - 56 ans). La tranche d’âge de 21 à 30 ans, 20 (55,6%) et le sexe féminin 26 (72,2 %) étaient les plus fréquents. Les infirmiers 16 (44.4%) étaient les catégories professionnelles les plus représentées. Au total 23 (64%) cas étaient complètement vaccinés et 6 (17%) non vaccinés. Parmi les cas modères, 6 (66,6%) n’étaient pas vaccinés.</p>','<p>Plus de la moitié des cas était symptomatique et la toux était le principal symptôme. Le sexe féminin et la tranche d’âge de 21-30 ans étaient les plus représentés. Les infirmiers étaient majoritaires parmi les cas. Plus des deux-tiers des cas étaient complètement vaccinés. Tous les cas confirmés étaient isolés et les contacts vaccinés. Plus de la moitié des cas modérés n’étaient pas vaccinés. Nous recommandons la vaccination de tout le personnel, le respect des mesures barrières, et la prévention et contrôle des infections.</p>','<p>Cluster, Covid-19, Hôpital préfectoral, Fria</p>','3','2','3','2','2','3',NULL,'Accept','Poster','Yes',NULL,'2025-05-16 10:13:00','2023-05-29 11:23:05',NULL,55),(852,'Kasongo Kayembe Jolie','FETP Guinée','jkayembe@afenet.net','dr','Hélène Sira','GUILAVOGUI','female','guinea','sirahelene@gmail.com','<p>GuiFETP</p>','resident',NULL,'25/11/2022','intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Patrick Mavungu Ngoma, AFENET, pngoma@afenet.net\r\nMohamed Fanton Kourouma, AFENET, mkourouma@afenet.net\r\nNouonan Gbamou, MOH, gbamougb76@gmail.com\r\nSalomon Corvil, AFENET, scorvil@afenet.net\r\nJolie Kasongo Kayembe, AFENET, jkayembe@afenet.net\r\nFodé Amara Traoré, MOH, fodistet@yahoo.fr','<p>Evaluation du système de surveillance de la maladie à Corona virus (Covid-19) dans la région de N’Zérékoré, Novembre 2021</p>','<p>Depuis l’avènement de la pandémie de Covid-19, la région de N’Zérékoré a notifié 403 cas confirmés et 29 décès à la date du 3 septembre 2021. Un système de surveillance a été mise en place, avec pour objectif la détection précoce et l’investigation des cas. Cette étude vise à évaluer l’atteinte des objectifs du système afin de l’améliorer.</p>','<p>Le guide de CDC 2001 a été utilisé pour l’évaluation. Simplicité et acceptabilité ont été évaluées à l’aide d’un questionnaire administré au personnel impliqué dans la surveillance épidémiologique à N’Zérékoré. Qualité des données, promptitude, valeur prédictive positive (VPP) et représentativité ont été évaluées à travers les données de surveillance issues du DHIS2. L’utilité a été à travers l’atteinte des objectifs du système.</p>','<p>Soixante-neuf acteurs ont été enquêtés. Simplicité : 92% maitrisaient la définition de cas, seulement 29% trouvaient le remplissage des fiches de notification facile. Acceptabilité : 100% des acteurs acceptaient de participer au processus de surveillance. Tous les indicateurs de promptitude étaient 100%, toute fois la complétude des données était à 70%. Les cas ont été représentés en personne, temps et lieu et VPP était à 24% pour au moins 20% requis. Le système a permis de détecter des cas de Covid-19, de les prendre en charge, et de lister et suivre des contacts.</p>','<p>Le système est acceptable mais complexe dans le remplissage des outils. Il était prompt avec une qualité des données médiocre. Il était représentatif avec une bonne VPP. Le système de surveillance de Covid-19 est utile, il a atteint ses objectifs. Les activités de briefing lors des supervisions ont permis de passer de 92% à 100% d’acteurs maitrisant les définitions de cas, de 29% à 66% d’agents trouvant simple le remplissage des fiches de notification.</p>','<p>Evaluation, système, Covid-19, N’Zérékoré, 2021</p>','3','3','3','3','3','4',NULL,'Accept','Oral','Yes',NULL,'2025-05-17 10:13:00','2023-05-29 11:25:00',NULL,55),(853,'Kasongo Kayembe Jolie','FETP Guinée','jkayembe@afenet.net','dr','Mamadou Aliou','Bah','male','guinea','maliou2osezinnover@gmail.com','<p>GuiFETP</p>','alumni',NULL,'25/11/2022','intermediate','one-health-and-climate-change','Nouonan Gbamou, MOH, gbamougb76@gmail.com\r\nSalomon Corvil, AFENET, scorvil@afenet.net\r\nJolie Kasongo Kayembe, AFENET, jkayembe@afenet.net\r\nFodé Amara Traoré, MOH, fodistet@yahoo.fr','<p>Evaluation du système de surveillance des morsures et de la rage, Direction Préfectorale de l’Elevage de Pita, 2019-2021</p>','<p>En 2018, un plan stratégique d’élimination de la rage à l’horizon 2030 a été validé et la surveillance de la rage a été renforcée dont les objectifs étaient de détecter à temps les cas de morsures et faire la prophylaxie post ex positionnelle (PPE). Cette évaluation consiste à déterminer si les objectifs fixés sont atteints</p>','<p>Les guides d’évaluation de CDC 2021 et les directives de l’OMS ont été utilisés. Un questionnaire a été administré au personnel impliqué dans la surveillance pour évaluer la simplicité et l’acceptabilité alors que la représentativité, la promptitude, la qualité des données ont été évaluées à travers l’analyse de la base de données et l’utilité, selon l’atteinte des objectifs.</p>','<p>Simplicité : sur 14 interviewées, 100% disposaient la définition de cas mais 71% la maitrisaient et 57% estimaient facile le remplissage de la fiche de notification. Acceptabilité 86% des prestataires trouvent que la surveillance de la rage est une tâche supplémentaire et 43% de postes d’élevages notifiaient des cas de morsure. Promptitude : 100% des cas investigués dans les 48 h. Qualité des données : fiches bien remplies : 66%. Représentativité : description en temps et personne et des 12 sous-préfectures 8(67%) sont restées silencieuses en 2021. Utilité : 100% des morsures détectées ont été investiguées dont 57% ont bénéficié PPE.</p>','<p>Le système de surveillance était simple pour la disponibilité de la définition de cas de rage mais complexe sur le remplissage. Le système est inacceptable. Il est représentatif en termes de personne et temps mais non représentatif en termes de lieu et a été juge peu utile. Des activités comme la formation des agents sur le remplissage des fiches de notification ont permis de passer la qualité des données de 66% à 80%.</p>','<p>Evaluation, surveillance, morsures, rage, Pita</p>','2','4','3','2','3','3',NULL,'Accept','Poster','Yes',NULL,'2025-05-18 10:13:00','2023-05-29 11:29:14',NULL,55),(855,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','mr','Marie Goretti','Zalwango','female','uganda','gzalwango@uniph.go.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Daniel Kadobera; Uganda Public Health Fellowship Program; dkadobera@uniph.go.ug\r\nJane F. Zalwango; Uganda Public Health Fellowship Program; zalwangojf@uniph.go.ug \r\nCarol Nanziri; Uganda National Institute of Public Health; cnanziri@uniph.go.ug \r\nLilian Bulage; Uganda National Institute of Public Health; lbulage@uniph.go.ug \r\nRichard Migisha; Uganda National Institute of Public Health; rmigisha@uniph.go.ug \r\nBenon Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@uniph.go.ug \r\nJimmy Opigo; Ministry of Health; opigojimmy@gmail.com\r\nAlex R. Ario; Uganda National Institute of Public Health; riolexus@uniph.go.ug \r\nJulie R. Harris; US Centers for Disease Control and Prevention, Kampala, Uganda','<p>Evaluation of malaria epidemic surveillance methods for Uganda, 2022</p>','<p>Strong malaria surveillance is fundamental for program planning. Malaria ‘epidemics’ are detected by applying thresholds calculated using any of three WHO-recommended methods [the 75th percentile or mean+2 standard deviations (2SD) (for high-transmission areas), and cumulative sum (C-SUM) methods (for low-transmission areas)] to weekly surveillance data. The C-SUM method is not recommended for high-transmission areas due to its high sensitivity and potential for false alarms. In Uganda, districts can apply either the 75th percentile or mean+2 standard deviation methods. We evaluated the different threshold approaches to compare their epidemic-signaling outputs in Uganda.</p>','<p>We identified the number of weeks malaria cases exceeded the threshold (‘epidemic weeks’) using the three methods for all weeks in 2022 in six districts. Thresholds were calculated using historical data from the health management information system (HMIS) 033b weekly reports (2017-2021). We evaluated Alebtong, Nwoya, and Moroto districts (high malaria transmission with &gt;80% reporting rates) and Kisoro, Kanungu, and Rukiga districts (low malaria transmission with &gt;80% reporting rates). All districts currently use the 75th percentile method for epidemic detection.</p>','<p>The number of epidemic weeks varied by method used. For the 75th percentile, C-SUM, and mean+2SD methods in high-transmission districts, the number of epidemic weeks detected were 50, 52, 39 (Alebtong); 30, 42, 1 (Nwoya), and 37, 48, 10 (Moroto), respectively. For the same methods in low-transmission districts, the number of epidemic weeks were 34, 26, 0 (Kisoro); 21, 35, 11 (Kanungu), and 47, 47, 29 (Rukiga) respectively.</p>','<p>Among districts evaluated, the 75th percentile approach for malaria epidemic detection in Uganda was as sensitive as the C-SUM method, considered inappropriate for high-transmission areas. Use of the mean+2SD method for high-transmission areas, and 75th percentile and C-SUM methods for low-transmission areas in Uganda, may provide more useful results than the current approach.</p>','<p>Malaria epidemic, surveillance, epidemic thresholds, Uganda</p>','3','2','2','2','3','2',NULL,'Accept','Poster','Yes',NULL,'2025-05-19 10:13:00','2023-05-30 19:08:08',NULL,207),(857,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Zainah','Kabami','female','uganda','zkabami@uniph.go.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Brenda Simbwa; Uganda Public Health Fellowship Program; bsimbwa@uniph.go.ug \r\nBrian Agaba; Uganda Public Health Fellowship Program; agababrian@uniph.go.ug\r\nHelen Nelly Naiga; Uganda Public Health Fellowship Program; naigahelen@uniph.go.ug \r\nRebecca Akunzirwe; Uganda Public Health Fellowship Program; akunzirwer@uniph.go.ug \r\nSaudah Namubiru Kizito; Uganda Public Health Fellowship Program; skizito@musph.ac.ug\r\nRobert Zavuga; Uganda Public Health Fellowship Program; robert@uniph.go.ug\r\nIssa Makumbi; Uganda National Institute of Public Health; issamakumbi@uniph.go.ug\r\nLilian Bulage; Uganda National Institute of Public Health; lbulage@uniph.go.ug\r\nFred Monje; Uganda National Institute of Public Health; fredmonje@musph.ac.ug \r\nJulie Harris; US Centers for Disease Control and Prevention; ggt5@cdc.gov','<p>The first ever reported anthrax outbreak in Bududa District, Eastern Uganda, February – May 2022</p>','<p>Over the past four years, anthrax has begun appearing in new districts in eastern Uganda that have not previously reported anthrax but are adjacent to districts previously reporting anthrax. Such outbreaks are nearly always associated with exposure to cows that die suddenly. On May 16, 2022, the District Health Officer of Bududa District informed the Ministry of Health of 11 cows that died suddenly in one village. This would be the first ever reported anthrax outbreak in this district which borders Kenya. There were also suspected anthrax human cases in the same village and neighbouring villages. We investigated to determine the outbreak scope and identify risk factors.</p>','<p>We identified human cases through active case search and review of medical records at health facilities serving the two affected sub-counties. For Bududa District residents in January-May 2022, we defined suspected human cutaneous anthrax as new onset of skin papules, vesicles, or eschars; suspected gastrointestinal anthrax was onset of abdominal pain and ≥1 of: diarrhea, vomiting, lymphadenopathy, pharyngitis, or oropharyngeal lesions; confirmed anthrax was suspected anthrax with PCR-positivity for Bacillus anthracis from a swab from skin lesions/vesicles or blood. We conducted a retrospective cohort study among all household members in affected villages to identify risk factors.</p>','<p>Among 216 village residents, 21 case-patients (15 suspected, 6 confirmed, 1 death) were identified with onsets February-May 2022. Sixteen (76%) case-patients were male. Mean age was 29 (range, 5-72) years. Twelve (57%) had cutaneous anthrax, four (19%) had gastrointestinal anthrax, and five (24%) had both. Cooking (aRR: 16, 95% CI: 7.8-33) and eating meat from an animal that died suddenly (aRR: 84, 95% CI: 18-388) increased risk of any form of anthrax.</p>','<p>Anthrax continues to spread to new districts in eastern Uganda. As in previous outbreaks, exposure to meat from an animal that died suddenly increased risk of anthrax amongst humans in this outbreak. The continued spread indicates a need for more widespread risk communication about anthrax in both humans and animals, as well as consideration of broad vaccination of livestock in this region.</p>','<p>Anthrax, Outbreak, Uganda</p>','2','2','2','2','3','2',NULL,'Accept','Poster','Yes',NULL,'2025-05-20 10:13:00','2023-05-30 19:21:39',NULL,207),(858,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Mackline','Ninsiima','female','uganda','nmackline@musph.ac.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Mercy Wanyana; Uganda Public Health Fellowship Program; mwendy@musph.ac.ug\r\nThomas Kiggundu; Uganda Public Health Fellowship Program; tkiggundu@musph.ac.ug \r\nPatrick King; Uganda Public Health Fellowship Program; kingp@uniph.go.ug\r\nBernard Lubwama; Baylor  Uganda; lwabula@gmail.com \r\nRichard Migisha; Uganda Public Health Fellowship Program; rmigisha@uniph.go.ug\r\nDaniel Kadobera; Uganda Public Health Fellowship Program; dkadobera@uniph.go.ug','<p>Syndromic surveillance during 2022 Uganda Martyrs’ commemoration, May–June, 2022</p>','<p>Mass gatherings frequently include close, prolonged interactions between people, which can present opportunities for infectious disease transmission. During May 25-June 3, 2022, over 4 million pilgrims gathered at Namugongo Catholic and Protestant shrines to commemorate the annual Uganda Martyr’s Day. We described syndromes suggestive of key priority diseases among visiting pilgrims during this period to inform future planning for mass gatherings in Uganda.</p>','<p>We interviewed every tenth pilgrim in the lines at the main entrance gates and in the designated zonal areas about symptoms of priority public health illnesses (COVID-19 and viral hemorrhagic fevers (VHF)). A suspected COVID-19 case was defined as ≥2 of: fever &gt;37.5 C, flu, cough, and difficulty breathing. A suspected VHF case was defined as fever &gt;37.5 C and unexplained bleeding. We also abstracted secondary data on 5,582 pilgrims who sought medical care for the same public health conditions at designated medical tents from Health Management Information Systems (HMIS) registers and conducted descriptive analysis.</p>','<p>Among 1,350 pilgrims interviewed, 767 (57%) were female and mean age was 37.9 (±17.9) years. A total of 236 (18%) reported ≥1 case definition symptom and 25 (2%) reported ≥2 symptoms. Twenty-two (1.6%) were suspected COVID–19 cases and three (0.2%) were suspected VHF cases, two (from Kampala City and Lira District) bleeding from the nose and one (from Sironko District) with bloody vomitus and urine. Among 5,582 pilgrims who sought care at the medical tents, 538 (9.6%) had suspected COVID-19 and one had suspected VHF. None had samples collected for laboratory testing.</p>','<p>Almost one in fifty pilgrims at the 2022 Uganda Martyrs’ commemoration had symptoms of COVID-19 or VHF. Despite the epidemic potential for these diseases, none of the case-patients were tested, providing an opportunity for disease introduction and spread. Both intensified syndromic surveillance and planned laboratory testing capacity at mass multi-day gatherings could facilitate early detection of public health emergencies that could stem from such events.</p>','<p>Syndromic surveillance, mass gathering, missed opportunities</p>','2','2','3','2','2','2',NULL,'Accept','Poster','Yes',NULL,'2025-05-21 10:13:00','2023-05-30 19:29:35',NULL,207),(859,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Nelly','Naiga','female','uganda','naigahelen@uniph.go.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Jane Frances Zalwango; Uganda Public Health Fellowship Program; zalwangojf@uniph.go.ug\r\nMaria Goretti Zalwango; Uganda Public Health Fellowship Program; gzalwango@uniph.go.ug\r\nLawrence. E. Oonyu; Uganda Public Health Fellowship Program; lemiruon@musph.ac.ug\r\nRichard Migisha; Uganda Public Health Fellowship Program; rmigisha@uniph.go.ug\r\nJulie R. Harris; US CDC; ggt5@cdc.gov','<p>Factors associated with Black Water Fever among children with severe malaria in Kakumiro District, Western Uganda, February- August 2022</p>','<p>Blackwater fever (BWF) is an unusual complication of malaria causing fever, hemolysis, anemia, and tea-colored urine; untreated, it can be fatal. Previous studies have suggested possible associations with quinine or other antimalarial treatments in some children, but the etiology is unproven. On August 12, 2022, the Uganda Ministry of Health received an alert of a “strange disease” in Kakumiro District, Western Uganda. The “strange disease” was reportedly manifesting as tea-colored urine, severe anemia, fever, and leading to death in children with malaria. We investigated to identify the strange disease and associated factors.</p>','<p>BWF case-patients were defined as children with severe malaria who passed tea-colored urine (graded by Hillmen urine color chart &gt;5) during February-August 2022. We generated a line list and conducted an unmatched case-control study in the subcounty with the highest attack rates (Nkooko Subcounty). Controls were conveniently-selected neighbor children with severe malaria (1:1 ratio) who had never passed tea-colored urine. A standardized questionnaire about malaria treatment was used to interview primary caretakers of case-patients and controls. We conducted regression with a common reference group to identify factors associated with BWF.</p>','<p>We enrolled 102 case-patients (mean age=10 years; 44% female) and 139 controls (mean age=6 years; 50% female). Risk factors had an additive effect. Compared with ‘low-risk’ children [children who always completed malaria treatment, did not have quinine treatment stored at home, and who did not take combinations of ≥2 antimalarials], the odds of BWF were elevated among children who never completed treatment and took combinations of antimalarials (OR=2.7, 95%CI 1.1-6.5), who had oral quinine at home and took combinations of antimalarials (OR=4.8, 95%CI 1.1-21), who never completed malaria treatment and had oral quinine at home (OR=13, 95%CI 1.3-131), and who had all three risk factors (never completed treatment, had oral quinine at home, and took combinations of antimalarials) (OR=19, 95%CI 2.1-183).</p>','<p>Inappropriate treatment of malaria was associated with BWF in Kakumiro district. Investigations into drug-resistant malaria may be warranted. Educating parents about the risks of self-medication (especially quinine) and encouraging them to support their children\'s full treatment course may reduce BWF in Kakumiro District.</p>','<p>Blackwater fever, severe malaria, children</p>','3','3','3','3','4','3',NULL,'Accept','Oral','Yes','<p>Confidence intervals are very wide which suggest a lower degree of precision for the population parameters. It may be due to small sample size, very inconsistent data, having outliers and/or presence of collinearity.&nbsp;</p>','2025-05-22 10:13:00','2023-05-30 23:38:21',NULL,207),(860,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Rebecca','Akunzirwe','female','uganda','rakunzirwe@musph.ac.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Richard Migisha; Uganda National Institute of Public Health; rmigisha@uniph.go.ug \r\nBrenda Simbwa; Uganda National Institute of Public Health; bsimbwa@uniph.go.ug \r\nMercy Wanyana; Uganda National Institute of Public Health; mwanyana@uniph.go.ug\r\nJane Frances Zalwango; Uganda National Institute of Public Health; rmigisha@uniph.go.ug\r\nJulie R. Harris; US CDC; ggt5@cdc.gov\r\nAndrew Kwiringira; Uganda National Institute of Public Health; akwiringira@musph.ac.ug\r\nSimone Carter; United Nations Children’s Fund Public Health Emergencies, Geneva, Switzerland;','<p>Time to care-seeking and factors influencing appropriate EVD care among Ebola case patients in Uganda, September to November 2022</p>','<p>Early isolation of and appropriate care for EVD patients at Ebola Treatment Units (ETU) curbs outbreak spread and reduces case fatality. When conducted appropriately, contact tracing facilitates early isolation. However, the influence of contact tracing on timing of ETU entry and factors associated with delays in reaching ETUs during the 2022 EVD outbreak in Uganda were not well understood. We explored these issues during September–November 2022 in Uganda.</p>','<p>We included only RT-PCR-confirmed EVD cases from the Ministry of Health line list during September–November 2022. We calculated days from patient symptom onset to ETU entry (‘delay’). We compared the median delay by status as a known contact before diagnosis using the Wilcoxon rank-sum test. We also compared age and sex between case-patients who had delays ≤2 days (‘short’) and delays ≥3 days (‘long’) using the chi-square test. We conducted key informant interviews with 17 EVD case-patients, who had short (n=8) and long (n=9) delays to qualitatively assess factors associated with delays. Data were analysed using content analysis to derive themes.</p>','<p>Among 141 confirmed cases, 59% were male; the mean age was 29 years (±13.8). The median delay was 4 (IQR 2-6) days. Overall, 30% of patients sought care &lt;2 days, 42% in 3-5 days, and 29% in ≥6 days. Persons previously listed as contacts sought care in fewer median days than those not previously listed as contacts (3 vs. 4 days, p&lt;0.001). Enablers of short delays included knowing that one was a contact of a confirmed case, knowing EVD symptoms, encouragement from a trusted person, and belief that early treatment-seeking was lifesaving. Patients with long delays experienced fear of Ebola treatment centres, slow response by contact tracers to alerts made by the patients, inability of healthcare workers and patients to recognise symptoms, and failure of healthcare workers to refer patients to ETUs.</p>','<p>Few case-patients were isolated early after onset. Being a known contact reduced delays to ETU care. Strengthening contact tracing, engaging health facilities to ‘think Ebola first,’ and conducting community outreach to allay fears about the ETU could facilitate more rapid presentation and improve outcomes.</p>','<p>Ebola, Healthcare seeking behaviour, Outbreak, Uganda</p>','4','4','4','4','5','4',NULL,'Accept','Oral','Yes','<p>This is a good paper which shows the public health significance of contact tracing during highly dangerous pathogen disease outbreak response.</p>','2025-05-23 10:13:00','2023-05-30 23:58:43',NULL,207),(861,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','dr','Robert','Zavuga','male','uganda','robert@uniph.go.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','non-communicable-diseases-ncds-injuries-and-mental-health','Thomas Kiggundu; Uganda National Institute of Public Health; tkiggundu@musph.ac.ug\r\nMackline Ninsiima; Uganda National Institute of Public Health; nmackline@musph.ac.ug \r\nPeter Edward Okello; Uganda National Institute of Public Health; pokello@uniph.go.ug\r\nRichard Migisha; Uganda National Institute of Public Health; rmigisha@uniph.go.ug\r\nDaniel Kadobera; Uganda National Institute of Public Health; dkadobera@uniph.go.ug\r\nBenon Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@uniph.go.ug\r\nLillian Bulage; Uganda National Institute of Public Health; lbulage@uniph.go.ug\r\nJoshua Kayiwa; Uganda National Institute of Public Health; joshua.kayiwa@uniph.go.ug \r\nIssa Makumbi; Uganda National Institute of Public Health; issamakumbi@uniph.go.ug \r\nAlex Riolexus Ario; Uganda National Institute of Public Health; riolexus@uniph.go.ug','<p>Methanol poisoning caused by adulteration of alcohol at production stage in a factory in North Western Uganda, August 2022</p>','<p>Methanol is a toxic industrial solvent that, when ingested, can cause vision loss, severe illness, and death. The maximum safe limit of methanol in drinking alcohol is 50mg/L. In August 2022, the Uganda Ministry of Health was notified of a cluster of sudden deaths in Arua City and Madi-Okollo districts among persons who had consumed gin (Gin X) produced from a local fruit wine manufacturer (Manufacturer A). We investigated to determine the scope of the problem, identify risk factors for the sudden deaths, and recommend control and prevention measures.</p>','<p>We defined a suspected case as acute onset of blurred vision with abdominal pain, general body weakness, headache, or profuse sweating in a resident of Arua City or Madi-Okollo districts from 16–26 August 2022. We conducted a retrospective cohort study to identify risk factors for death among cases. Together with Uganda Police Force and the Uganda National Bureau of Standards, we collected samples of Gin X from Manufacturer A for toxicologic analysis at the Government Analytical Laboratory in Kampala and reviewed production permits on-site. Autopsies were carried out on all deceased case-patients who were taken to Arua Regional Referral Hospital.</p>','<p>We identified 48 cases (47 male); 18 (38%) died. The median age of cases was 32 years (IQR 26-46). Compared with case-patients who consumed ≤1 200ml bottle of Gin X, the risk of dying was 10 times higher (RR=10.7, 95% CI: 1.5-75, p=0.02) among those who drank ≥3 bottles. The mean methanol content among five Gin X samples collected from manufacturer A was 594,424 mg/L (range 259,263-809,193 mg/L). Autopsies of eight case-patients all showed liver inflammation oedema, gastrointestinal bleeding, and pulmonary oedema, consistent with methanol poisoning. A disagreement between the chemist and owner at Manufacturer A had led to the abrupt recent departure of the chemist, four days before the first case-patient’s onset on 17 August 2022. In July 2022, Manufacturer A had been denied a license to produce gins.</p>','<p>This outbreak was caused by consumption of gin that was adulterated with methanol at production stage before reaching the market. We recommend strict enforcement of the laws that govern alcohol production and distribution.</p>','<p>Methanol, alcohol poisoning</p>','3','2','2','2','3','3',NULL,'Accept','Oral','Yes',NULL,'2025-05-24 10:13:00','2023-05-31 00:24:31',NULL,207),(862,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','dr','Thomas','Kiggundu','male','uganda','tkiggundu@musph.ac.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Sarah Zalwango; Kampala capital City Authority; \r\nRichard Migisha; Uganda National Institute of Public Health; rmigisha@uniph.go.ug\r\nDaniel Kadobera; Uganda National Institute of Public Health; dkadobera@uniph.go.ug\r\nAlex Ario Riolexus; Uganda National Institute of Public Health; riolexus@uniph.go.ug\r\nJulie Harris; US CDC; ggt5@cdc.gov','<p>Trends and distribution of hypertension in Uganda, 2016-2021</p>','<p>Hypertension increases the risk of both cardiovascular and cerebrovascular diseases, leading to the premature death of an estimated 9.4 million persons per year worldwide. The most recent Uganda data of 2016 puts the overall prevalence of hypertension among adults at 31.5% from 24.3% in 2014 by the Uganda 2014 STEPwise approach to noncommunicable disease risk factor surveillance (STEPS) survey. Public health interventions such as introduction of walkways and cycling lanes, promotion of consumption of healthy foods, cessation of smoking and promotion of health seeking have been made towards reducing hypertension in Uganda through the Ministry of Health (MoH). Despite these efforts to reduce the burden of hypertension, their impact has not been measured recently. We therefore, set out to describe the trends and distribution of hypertension in Uganda. We described the trends and distribution of Hypertension in Uganda from 2016 to 2021.</p>','<p>This cross-sectional study extracted out-patient department (OPD) national, regional, and district-level aggregated surveillance data on hypertension from District Health Information System (DHIS2). These data are obtained from monthly outpatient report Health management information system (HMIS) forms. The study population was adults ≥ 18 years with hypertension from 2016 to 2021. Data were cleaned and analyzed using MS Excel and Epi Info. Logistic regression was used to assess trends of hypertension from January 2016 to December 2021. We described the spatial distribution of hypertension by region.</p>','<p>The overall prevalence of hypertension increased from 16% in 2016 to 27% in 2021, with a 2.1% annual increase. In 2016, the Central region had the highest prevalence of 18 per 100 OPD cases (OR=1.049 95%C1 1.048-1.050), followed by the western region at 12 per 100 OPD cases (OR=1.126 95%C1 1.125-1.128), 11 per 100 OPD cases in the eastern region (OR=1.037 95%C1 1.035-1.038), and the lowest at 6 per 100 OPD cases in northern region (OR=1.103 95%C1 1.101-1.105). Western region had the highest increase of 3.3% between 2016 and 2021. There was an overall positive trend of hypertension in all regions of Uganda. The trend observed was statistically significant (p= &lt;0.001).</p>','<p>Hypertension is increasing in Uganda despite public health interventions. There is need to strengthen these interventions or rethink strategies to mitigate the increasing burden of hypertension.</p>','<p>Trends, Distribution, Hypertension, Uganda</p>','3','1','2','2','3','2',NULL,'Reject','Rejected','Yes','<p>The study population was adult above 18 years with hypertension. It is not possible to employ a logistic regression without a dichotomous dependent variable.&nbsp;</p>','2025-05-25 10:13:00','2023-05-31 00:18:29',NULL,207),(863,'Angela Kisakye','Scientific Writerak','akisakye@musph.ac.ug','ms','Winfred','Natukunda','female','uganda','natukundabamu@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,NULL,'advanced','public-health-systems-strengthening-initiatives','Martha Akulume, Makerere University, School of Public Health, makulume@musph.ac.ug','<p>EVALUATING THE EARLY INFANT DIAGNOSIS POINT OF CARE PROGRAM IN UGANDA</p>','<p>At-birth and point-of-care (POC) early infant diagnosis (EID) testing are emerging strategies to streamline infant human immunodeficiency virus (HIV) diagnosis and expedite antiretroviral therapy initiation for HIV-positive infants. Uganda rolled out EID point of care testing in 2018 using Mpima/AlereQ and GeneXpert in 115 sites to ensure services are brought closer to the communities and enable early identification of HIV-infected infants leading to timely initiation to treatment and care The purpose of this study was to evaluate the early infant diagnosis point of care program against the set targets to provide programmatic information and evidence of the effect of EID POC implementation.</p>','<p>A cross-sectional study followed by an explanatory sequential design characterized by an initial quantitative analysis to identify best and worst performing health regions followed by a qualitative data collection to explain the enablers and barriers for EID POC performance.</p>','<p>A sub-optimal timely EID uptake was realized with 76% of the HEIs against the target of 90% timely receipt of 1st PCR. Nearly three-quarter of the 1st PCR samples (73%, n=6001) were tested on the Mpima/AlereQ devices, and half of the samples tested at the general hospitals (50%, n=4151). Just over half (55%, n=4580) of infants tested were males and 71% of the infants accessed their test results within the same day of sample collection. The main entry point into care was the mother-baby (MBCP, 69% n=5709), followed by young child clinic (YCC, 23% n=5709). Linkage of the positive infants to care and treatment remained sub-optimal with 10% not linked within 1 week after receipt of results.</p>','<p>The program ought to develop strategies to address health system gaps in service accessibility and quality, staffing required for service delivery, stock needed to conduct testing and community-level factors that include addressing stigma and patient literacy.</p>','<p>EARLY INFANT DIAGNOSIS POINT OF CARE PROGRAM IN UGANDA</p>','3','2','3','2','1','3',NULL,'Accept','Poster','Yes','<p>BACKGROUND</p><p>The study is not properly justified</p><p>The objective is not clear</p><p>&nbsp;</p><p>METHODS</p><p>The methods is not comprehensive with key areas missing</p><p>&nbsp;</p><p>RESULTS</p><p>Due to the poor nature of the methods section, it is difficult to understand the results since the authors are making comparisons to set targets which were not stated in the methods section.</p><p>Evaluating a system encompasses a lot, due to the manner in which the authors stated their objective, its not clear which areas of the program they evaluated and how they came about their findings</p><p>&nbsp;</p><p>CONCLUSION</p><p>The conclusion provided by the authors is not an interpretation of the study results.&nbsp;</p>','2023-05-17 10:13:00','2023-05-24 10:31:37',NULL,27),(864,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','Veronica','Kembabazi','female','uganda','kdalene3@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,NULL,'advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Elizeus Rutembemberwa, Makerere University, School of Public Health, ellie@musph.ac.ug\r\nJulius Ssentongo, Resilient Africa Network, jssentongo@ranlab.org','<p>Facilitators and barriers to Tuberculosis case notification among private health facilities in Kampala Capital City, Uganda</p>','<p>The linkage of Private Health Providers (PHPs) to National TB programs is known to improve Tuberculosis (TB) case finding. In Uganda, 58% of people with TB-related symptoms seek care initially from the private health sector, however, notification rates are low at 21%, and TB notification has not changed significantly despite efforts to engage PHPs. This study, therefore, set out to assess facilitators and barriers to TB case notification among private facilities in Kampala.</p>','<p>A cross-sectional study was utilized among private facilities in Kampala. We interviewed 224 health workers out of the 238 facilities visited. In-depth interviews and Key informant interviews among 14 participants. Associations between various factors were determined using Modified Poisson regression. Qualitatively, we generated themes on notification practices using Atlas-TI.</p>','<p>Of the 224 health workers, 55.4%(124) were male and the mean age was 32.6 ± 8.6 years. Regression analysis did not show TB case notification to increase with: the facility’s linkage to a public facility for TB notification; receiving suspected TB patients, nor having reporting tools. However, we found evidence indicating that the TB case notification was significantly lower among facilities that had no guide for TB screening and diagnosis (PR 0.50; 95%CI 0.25-0.97) and among facilities where the training of other health workers at the facility in TB diagnosis was unknown (PR 0.35; 95%CI 0.13-0.93). Qualitative data showed that while some health workers may know appropriate TB screening practices a few conduct them in line with guidelines. The main facilitators of TB case notification were; support supervision, engagement activities, motivation, and funding for community case-finding activities, while barriers included TB stigma, lack of TB training, and lack of diagnostic facilities.</p>','<p>Private health facilities in Kampala need regular supervision and support for up-to-date knowledge, equipment, and some funding support to carry out TB case notification.</p>','<p>Tuberculosis case notification among private health facilities in Kampala</p>','5','4','4','4','4','5',NULL,'Accept','Oral','Yes',NULL,'2025-05-26 10:13:00','2023-05-12 09:45:56',NULL,92),(865,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','Isabella','Kisa Wanadi','female','uganda','isabellakisa@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,NULL,'advanced','communication-and-technological-innovations-for-public-health','Simon Kasasa, Makerere University, School of Public Health, skasasa@musph.ac.ug\r\nSimon Peter Kibira, Makerere University, School of Public Health, pskibira@musph.ac.ug','<p>ADOPTION OF HEALTH INFORMATICS FOR COMMUNITY MONITORING OF HIV/TB SERVICES AND ITS PREDICTORS AMONG NGO STAFF IN KAMPALA UGANDA</p>','<p>Electronic data capture and digital health technologies improve patient healthcare outcomes, through augmenting diagnosis, prescription and treatment, and patient-centered care. The WHO global strategy on digital health (2020-2025) fronts the use of health informatics as an important tool for the achievement of health goals. However, the challenge is the low adoption. This study sought to assess the level of adoption and use of health informatics for community monitoring of TB/HIV services and its predictors among NGO staff in Kampala Uganda.</p>','<p>A cross-sectional study was utilized among 130 staff in five NGOs providing HIV/TB services and ten key informants. A structured questionnaire and interview guide were used to collect data. STATA version 14, and the thematic analysis approach were used to analyze data. Fisher’s exact test and logistic regression were used to determine the factors associated with the adoption of health informatics at 95% CI.</p>','<p>Majority of the participants were females (62.3%), single (47.7%), and had a mean age of 33.6 years (SD=7.6), 35.3% had worked in their respective organizations for at least 3 years. Two out of five organizations used health informatics at community level. Factors associated with adoption of health informatics included age (AOR 6.23; 95% CI 1.92-20.29), interoperability (AOR 0.47; 95% CI 0.27-0.83), routine training (AOR 50.34; 95% CI 3.84-659.2), training frequency (AOR 2.03; 95% CI 1.07-3.85) and collegial support (AOR 0.62; 95% CI 0.05-0.77). Key challenges reported included system slowness, double entry burden, human resource gap, limited technology infrastructure, and slow technical response.</p>','<p>Adoption of health informatics for use at community level was low among NGOs offering HIV/TB services. This was attributed to lack of the required technology infrastructure and gadget security concerns Availing the required infrastructure and offering routine training and real-time technical support will improve adoption and usage of these systems.</p>','<p>HEALTH INFORMATICS FOR COMMUNITY MONITORING OF HIV/TB SERVICES</p>','4','4','3','3','4','3',NULL,'Accept','Poster','Yes','<p><strong>Results</strong>: Presentation of results does not clearly indicate the factors in favor of the adoption of the informatics, just mentioned the factors that affect the adoption. The reader cannot understand whether is it old or young age that is more likely to adopt the informatics, trained or untrained staff in favor of the adoption of the informatics, etc.</p><p>Conclusion: Nothing has been concluded on the factors affecting adoption of the informatics. No recommendations made to close the gap observed.&nbsp;</p>','2023-05-12 10:13:00','2023-05-20 07:37:18',NULL,22),(866,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','immaculate','Atuhaire','female','uganda','atuhaire@musph.ac.ug','<p>Uganda Public Health Fellowship Program</p>','alumni',NULL,'13/01/2023','advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Richard Migisha; Uganda National Institute of Public Health; rmigisha@uniph.go.ug\r\nSteven Kabwama; Makerere university School of Public Health; skabwama@musph.ac.ug\r\nBenon Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@uniph.go.ug\r\nLisa Mills; US CDC; ioj7@cdc.gov \r\nJulie Harris; US CDC; ggt5@cdc.gov\r\nAlex R. Ario; Uganda National Institute of Public Health; riolexus@uniph.go.ug\r\nJulius Ssempiira, US CDC,','<p>Geographic Distribution and Economic Factors Associated with Rapid Test for Recent HIV Infection (RTRI)-Recent HIV infections in Uganda, 2019-2021</p>','<p>As Uganda moves towards HIV epidemic control, it is increasingly important to rapidly identify recent infections and transmission hotspots. HIV recent infection surveillance is one approach to finding such infections and hotspots. We determined the geographical distribution of Rapid Test for Recent Infection (RTRI)-recent HIV infections and assessed the association of the district economic index with the frequency of recent infections in Uganda.</p>','<p>We used program surveillance data for newly-identified HIV cases tested by RTRI for recent HIV infection (acquired &lt;12 months ago) during November 2019-October 2021 in 112 districts carrying out recency testing. We abstracted data on RTRI-HIV recency results and overlaid a map of district wealth quintiles with recency data. Wealth quintiles were derived from aggregated household-level data from the 2018 Malaria Indicator Survey, with the bottom two quintiles being ‘poor’, the middle quintile being ‘moderately wealthy’, and the top two quintiles being ‘wealthy’. We regrouped these into wealth tertiles for this study. We conducted an adjusted (adjusted for age and sex) logistic regression to determine the association between HIV RTRI-recency and geographical location and economic index.</p>','<p>Among 12,274 newly-identified HIV infections, 1,230 (10%) were RTRI-recent. Quarterly rates of RTRI-recent infections ranged from 7-26%. RTRI-recent HIV infections were more frequent in the Western Region (12%) than other regions (Central: 9%; Northern: 10%; Eastern: 9%). Western region had higher odds of recent HIV infection compared to Central region (aOR=1.3; 95%CI=1.1-1.5). The odds of recent infection were lower in districts categorized as wealthy (aOR=0.60, 95%CI=0.47-0.85) compared to districts categorised as poor.</p>','<p>Residence in Western Uganda was significantly associated with RTRI-recent HIV infections during 2019-2021. Lower socioeconomic status may also increase risk for RTRI-recent HIV infections. Further studies that evaluate the impact of these variables at the individual (non-aggregated) level on recent infection and the addition of viral load data to enhance the reliability of recency results could help identify hotspots for new HIV infections.</p>','<p>Recency, HIV, Uganda</p>','4','4','4','4','4','4',NULL,'Accept','Oral','Yes',NULL,'2025-05-27 10:13:00','2023-05-12 09:49:09',NULL,92),(868,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','dr','Patience','Mwine','female','uganda','pmwine@musph.ac.ug','<p>Uganda Public Health Fellowship Program</p>','alumni',NULL,'13/01/2023','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','B.Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@uniph.go.ug\r\nR.Migisha; Uganda National Institute of Public Health; rmigisha@uniph.go.ug\r\nJ.Cheptoris; Ministry of Health; julietcheptoris@gmail.com \r\nD. Kadobera; Uganda National Institute of Public Health; dkadobera@uniph.go.ug\r\nL.Bulage; Uganda National Institute of Public Health; lbulage@uniph.go.ug\r\nP. Mudiope; Ministry of Health; pmudiope@gmail.com\r\nR.Apondi; US CDC;\r\nA.R. Ario; Uganda National Institute of Public Health; riolexus@uniph.go.ug\r\nJ.R. Harris; US CDC; ggt5@cdc.gov','<p>Sexual and Gender-Based Violence among Adolescent Girls and Young Women during the Main COVID-19 Period, Eastern Uganda</p>','<p>Police reports of Sexual Gender-Based Violence (SGBV) in Uganda increased during the COVID-19 pandemic, primarily affecting adolescent girls and young women (AGYW) aged 10-24 years. In April 2022, we investigated factors associated with SGBV among AGYW during the COVID-19 pandemic in Bukedi subregion, which reports the highest rates of SGBV among women (40% in 2016) in Uganda.</p>','<p>We collected descriptive data on all AGYW 10-24 years who obtained SGBV health services at ten high-volume health facilities from March 2020 to December 2021, the main COVID-19 period in Uganda. We conducted a case-control study among these AGYW. A case was ≥1 SGBV episode experienced by an AGYW aged 10-24 years residing in Tororo and Busia Districts. For every case, we identified two neighbourhood-matched AGYW controls that reported no SGBV. We interviewed 108 randomly-selected cases from health facility line lists and 216 controls on socio-demographics, socio-economics, and SGBV experiences during COVID-19. We conducted logistic regression to obtain adjusted odds ratios and confidence intervals.</p>','<p>Among 389 SGBV cases, the mean age was 16.4 (SD± 1.6: range 10-24) years, and 350 (90%) were 15-19 years. Among 108 cases interviewed, 79 (73%) reported forced sex. Most (73; 68%) knew the perpetrator. In multivariate analysis, self-reported SGBV before the COVID-19 period [aOR=5.8, 95%CI: 2.8-12] and having older siblings [aOR=1.9, 95%:CI 1.1-3.4] were associated with SGBV during the period. Living with a family that provided all the basic needs was protective [aOR=0.42, 95%: CI 0.23-0.78].</p>','<p>Previous SGBV and having families who could not provide basic needs were associated with increased odds of SGBV during the COVID-19 pandemic in Uganda. Finding, supporting, and enacting protective interventions for existing SGBV victims and socioeconomically vulnerable AGYW could reduce the burden of SGBV during similar events.</p>','<p>Sexual Gender-Based Violence, Adolescent Girls and Young Women, COVID-19</p>','4','5','5','4','4','4',NULL,'Accept','Oral','Yes',NULL,'2025-05-28 10:13:00','2023-05-12 09:53:38',NULL,92),(870,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Sarah','Elayeete','female','uganda','selayeete@musph.ac.ug','<p>Uganda Public Health Fellowship Program</p>','alumni',NULL,'13/01/2023','advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Edirisa Juniour Nsubuga; Uganda National Institute of Public Health; nsubugaeddiej@musph.ac.ug\r\nGerald Pande; AIDS Control Program; gpande@musph.ac.ug\r\nBenon Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@uniph.go.ug\r\nSteven Kabwama; Uganda National Institute of Public Health; skabwama@musph.ac.ug\r\nAlex R. Ario; Uganda National Institute of Public Health; riolexus@uniph.go.ug','<p>Improving HIV oral pre-exposure prophylaxis (PrEP) initiation among high-risk pregnant and breastfeeding women using continuous quality improvement approach at Katakwi General Hospital, Eastern Uganda, May-October, 2022</p>','<p>In 2020, the Uganda Ministry of Health (MoH) rolled out HIV oral pre-exposure prophylaxis (PrEP) among pregnant and breastfeeding women at substantial risk of HIV acquisition (‘high-risk’) as part of a comprehensive prevention strategy. However, review of PrEP registers at Katakwi General Hospital from January 2020 to April 2022 indicated that few high-risk women were initiated on PrEP. We conducted a continuous quality improvement (CQI) project to increase PrEP initiation among high-risk pregnant and breastfeeding women at Katakwi General Hospital.</p>','<p>We defined ‘baseline’ as January-April 2022, ‘midline’ as May-July 2022 and ‘endline’ as August-October 2022. We reviewed PrEP registers at baseline to establish the number of high-risk pregnant and breastfeeding women initiated on PrEP. A quality improvement team was formed and trained on the Plan-Do-Study-Act approach. Together with the team, we analysed the root causes of low PrEP initiation among high-risk pregnant and breastfeeding women using fishbone analysis and implemented interventions. To evaluate the intervention success, we reviewed PrEP data for high-risk pregnant and breastfeeding women at midline and endline and assessed changes from baseline as proportions of targeted women who were initiated on PrEP using chi-square test.</p>','<p>Fishbone analysis identified reasons for low PrEP initiation as lack of: healthcare worker training, screening, and facility-based PrEP sensitization. Training of healthcare providers offering PrEP and facility based PrEP sensitizations were conducted. At baseline, only 20/109 (18%) high-risk pregnant women and 12/78 (15%) high-risk breastfeeding women were initiated on PrEP. Among high-risk pregnant women, PrEP initiation rate increased to 125/220 (57%) at midline (p&lt;0.0001) and to 264/265 (100%) at endline (p&lt;0.001). Among high-risk breastfeeding women, PrEP initiation rate increased to 120/182 (67%) at midline (p&lt;0.0001) and to 202/203 (100%) at endline (p&lt;0.0001).</p>','<p>Targeted training of healthcare providers enabled increases in PrEP initiation among at risk pregnant and breastfeeding women. Regular facility-based sensitizations and trainings could encourage continued engagement in PrEP initiation at Katakwi General Hospital.</p>','<p>Pre-exposure prophylaxis, pregnant, breastfeeding, increased risk for HIV acquisition.</p>','5','5','4','5','5','5',NULL,'Accept','Oral','Yes','<p>Title: Ok</p><p>Background: Ok</p><p>Methods: Figures 264/265 and 202/203 are equivalent to 99.6%, not 100%</p><p>Results: Ok</p><p>Conclusion: Ok</p>','2025-05-29 10:13:00','2023-05-08 19:27:37',NULL,88),(872,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Petranilla','Nakamya','female','uganda','nakamyapetra@musph.ac.ug','<p>Uganda Public Health Fellowship Program</p>','alumni',NULL,'13/01/2023','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Rose Nampeera; Uganda National Institute of Public Health; rnampeera@musph.ac.ug\r\nStella Martha Migamba; Uganda National Institute of Public Health; smigamba@musph.ac.ug\r\nHildah Tendo Nansikombi; Uganda National Institute of Public Health; hnansikombi@musph.ac.ug\r\nSarah Elayeete; Uganda National Institute of Public Health; selayeete@musph.ac.ug\r\nBenon Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@uniph.go.ug\r\nDaniel Kadobera; Uganda National Institute of Public Health; dkadobera@uniph.go.ug\r\nFelix Ocom; Uganda National Institute of Public Health; felixocom@gmail.com\r\nAlex R. Ario; Uganda National Institute of Public Health; riolexus@uniph.go.ug\r\nJulie R. Harris; US CDC; ggt5@cdc.gov','<p>A comparison of the three major waves of Covid-19 in Uganda</p>','<p>Uganda has experienced three major waves of COVID-19 since March 2020, driven by the Alpha variant (wave 1; W1), Delta variant (wave 2; W2), and Omicron variant (wave 3; W3). We compared the epidemiology of cases across the three waves to inform decision-making in pandemic control.</p>','<p>We compared W3 cases to previously published results for W1 and W2 cases in Uganda and used the same methods and patient numbers as the previous study. We collected medical records for 200 PCR-confirmed hospitalized patients (HP) from Entebbe and Mulago Referral Hospitals during W3. We interviewed 200 randomly selected, PCR-confirmed non-hospitalized patients (NHPs) in W3 identified from lab records and interviewed them by phone. Data on demographics, clinical characteristics, and vaccination status were collected from patients or next-of-kin (for fatal cases).</p>','<p>There was no difference in median age between patients in any wave. Among HP, the proportions female in W1, W2, and W3 were 27%, 46%, and 36%, respectively; all comparisons were significantly different (p&lt;0.05). Among NHP, the proportions female in W1, W2, and W3 were 42%, 48%, and 43%, respectively, none significantly different. Among HP and NHP, the commonest comorbidity in all 3 waves was hypertension. W1, W2, and W3 had 18%, 28%, and 17% of HP with hypertension (significantly different between W3 and W2 (p=0.009) but not W3 and W1 (p=0.79)). There were no differences in the proportion of NHP with hypertension between any of the waves. No patients were vaccinated in W1. Among HP, more were fully vaccinated in W3 than W2 (46% vs 1%, p&lt;0.001). Among HP, 6%, 26%, and 11% died in W1, W2, and W3, respectively, with W3 having significantly lower proportions of HP dying than W2 (p&lt;0.001), but not W1 (p=0.073).</p>','<p>The characteristics of HP and NHP with COVID-19 were modestly different in three COVID-19 waves in Uganda. Overall, W3 cases were somewhat more similar to those in W1 than W2. However, disease appeared to be less severe in W3 and W1 than W2. As the SARS-CoV-2 pandemic continues to evolve, monitoring waves and new variants should remain a priority to inform response.</p>','<p>COVID-19, Waves, Hospitalised, Non-hospitalised, Delta, Omicron, Uganda</p>','5','3','3','4','5','2',NULL,'Accept','Poster','Yes','<p>Title: Misses time component and too general, do facilities used for data collection represent an entire country?</p><p>Background: Ok&nbsp;</p><p>Methods: Tools for analysis not mentioned and how the test for significance was done</p><p>Results:&nbsp;</p><ul><li>The results main focus is on HP and NHP which are not reflected in the subject title.&nbsp;</li><li>Why has the author summarized results for females who are the less majority in all the waves?</li></ul><p>Conclusion: As noted above the author concludes for HP and NHP which is not clearly reflected from the beginning</p>','2025-05-30 10:13:00','2023-05-08 20:06:51',NULL,88),(873,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','mr','Patrick','King','male','uganda','kingp@uniph.go.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Mercy Wendy Wanyana; Uganda National Institute of Public Health; mwendy@musph.ac.ug\r\nRichard Migisha; Uganda National Institute of Public Health; rmigisha@musph.ac.ug\r\nDaniel Kadobera; Uganda National Institute of Public Health; dkadobera@musph.ac.ug\r\nBenon Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@musph.ac.ug\r\nClaire Biribawa; Uganda National Institute of Public Health; biribawaclaire@musph.ac.ug\r\nMichael Baganizi; UNEPI, Ministry of Health; miknizi@gmail.com \r\nAlfred Driwale; UNEPI, Ministry of Health; driwalealfred2019@gmail.com','<p>COVID-19 Vaccine Uptake and Coverage in Uganda, March 2021- June 2022</p>','<p>COVID-19 vaccine reduces COVID-19-associated morbidity and mortality. Uganda began COVID-19 vaccination in March 2021 and has used a variety of vaccines, including AstraZeneca, Johnson &amp; Johnson, Moderna, Pfizer, Sinopharm and Sinovac. The WHO Global strategy on COVID-19 vaccination targeted national coverage of 10% by September 2021, 40% by December 2021 and 70% by June 2022. We assessed COVID-19 vaccination uptake and coverage in Uganda during March 2021 through June 2022 to evaluate progress towards targets and identify gaps for evidence-based recommendations.</p>','<p>We used secondary data from the national COVID-19 vaccination database from March 2021 through June 2022. Vaccine uptake was defined as the proportion of the population vaccinated with ≥1 COVID-19 vaccine dose. Coverage was the proportion of persons who had received the full number of doses (‘schedule’) of the relevant vaccine. For single-dose vaccines, uptake equalled coverage. We calculated uptake and coverage at national, regional and district levels and analyzed by sex and age groups. We used chi-square test to assess differences between categories.</p>','<p>In total, 17,369,476 individuals received ≥1 COVID-19 vaccine dose, and 11,833,911 individuals had received the full schedule by June 2022. National uptake was 6% in September (Q3) 2021, 42% in December (Q4) 2021 and 63% by June (Q2) 2022. Coverage (2% in Q3 2021, 16% in Q4, 2021, and 42% in Q2 2022) was below WHO targets. Western region (33.2%) had significantly higher coverage than eastern (31.4%), Central (22.4%) and northern regions (21.6%) (p&lt;0.001). Females (10.6%) had higher coverage than males (8.6%) (p50 years of age had higher coverage (24.9%) than persons aged 40-49 (21.8%), 30-39 (19.0%), 18-29 (4.7%) and 12-17 (2.9%) years (p&lt;0.001).</p>','<p>COVID-19 vaccine coverage and uptake were below WHO targets in Uganda by June 2022. The Uganda National Expanded Program for Immunization (UNEPI) should carry out targeted vaccination campaigns to improve vaccine uptake and coverage, particularly for groups and areas with the lowest coverage.</p>','<p>COVID-19 Vaccine, Vaccine Uptake and Coverage</p>','5','5','4','5','5','5',NULL,'Accept','Oral','Yes','<p>Title: Ok&nbsp;</p><p>Background: Ok&nbsp;</p><p>Methods: Ok</p><p>Results: Was there an overall target to be vaccinated by 2022? If so can it reflect in the denominator to these findings? \"In total, 17,369,476 (%?) individuals received ≥1 COVID-19 vaccine dose, and 11,833,911 (%?)individuals had received the full schedule ...\"&nbsp;</p><p>Conclusion: Ok&nbsp;</p>','2025-05-31 10:13:00','2023-05-09 19:27:32',NULL,88),(875,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','mr','Lazarus','Okia','male','uganda','okialazarus18@gmail.com','<p>Pallisa District</p>','resident',NULL,NULL,'frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Bernard Ikwaras; Pallisa District; \r\nTeddy Iyogil; Pallisa District; \r\nG. Mulekwa; Pallisa District; \r\nWinfred Nakaweesi; Uganda National Institute of Public Health; winfrednakaweesi@musph.ac.ug\r\nRonald Kimuli; Ministry of Health; \r\nIrene Byakatonda Kyamwine; Uganda National Institute of Public Health; ikyamwine@uniph.go.ug','<p>mTrac pro app improves timely weekly surveillance reporting, Pallisa District, 2022</p>','<p>Uganda Ministry Health collects weekly surveillance data from all health facilities in the country. Complete and timely surveillance data supports early detection and prompt public health action. We established trends of timely weekly reporting rates to ascertain poor performing facilities that were earmarked for Data Quality Assessment (DQA) for improvement.</p>','<p>We conducted a data quality audit and later employed fish bone approach for root cause analysis of poor performance on timely weekly reporting in 13 health facilities in Pallisa District. Causes such as a network coverage, failed sms systems, absenteeism, knowledge gap, were established and analyzed. Quality improvement approach that tested use of mTrac pro app as an alternative to SMS for submitting reports was introduced for 7 weeks.</p>','<p>Disease surveillance weekly reporting timeliness improved from 45% (13 facilities) in epi Week 27 to 83% (24 facilities) in epi week 35.</p>','<p>Using mTrac pro app as an alternative for submitting weekly reports improves timely reporting. We recommended scale up of the mTrac pro app as a tool to improve weekly reporting in Pallisa District.</p>','<p>mTrac pro app, Weekly Reporting, Pallisa District, Uganda</p>','3','3','3','5','5','4',NULL,'Accept','Oral','Yes','<p>Title: Ok&nbsp;</p><p>Background: The problem is not clearly stated. Yes, it is known that complete and timely surveillance data support early detection....but what problem triggered this study? My thinking was the app was used to poor-performing sites following the DQA that was conducted before? looks like you are looking for poor sites again</p><p>Methods: Ok&nbsp;. Any case definitions? what does poor performance mean in your study? Any inclusion criteria?.. I think the author should let the reader know that 13 facilities were included due to poor performance from a certain number of facilities where DQA was done</p><p>Results: Not clear why 24 facilities are part of end results while we had 13 facilities included in the study&nbsp;</p><p>Conclusion: Ok&nbsp;</p>','2025-06-01 10:13:00','2023-05-13 18:01:34',NULL,88),(876,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Sylvia','Ayebare','female','uganda','biostatistician.ayebare2011@gmail.com','<p>Mbarara District</p>','resident',NULL,NULL,'frontline','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Christopher Nahabwe; Mbarara District; \r\nAgatha Nshabohurira; Mbarara District; \r\nVincent Tucungwirwe; Mbarara District; \r\nWinfred Nakaweesi; Uganda National Institute of Public Health; winfrednakaweesi@musph.ac.ug \r\nImmaculate Atuhaire; Uganda National Institute of Public Health; atuhaire@musph.ac.ug\r\nIrene B. Kyamwine; Uganda National Institute of Public Health; ikyamwine@uniph.go.ug','<p>Improving timeliness and completeness of reporting of weekly surveillance data, Mbarara District, Uganda, Weeks 22 to 34, 2022</p>','<p>Accurate and timely surveillance informs evidence-based decision-making at all levels. All health facilities in Uganda are mandated to submit weekly reports on Monday of the next week into mTrac system. Ministry of health set a reporting rate target of 80%. We evaluated completeness and timeliness of reporting and initiated a project to improve weekly surveillance reporting for Mbarara District from 27% to 80% between week 22 to week 34, 2022.</p>','<p>We extracted health facility data from DHIS2 on completeness and timeliness in reporting for 13 weeks. Interventions like; Weekly SMS reminders- early on Mondays, SMS appreciation messages to facilities reporting on time and registering more health workers in the system, and Phone calls to none reporting facilities. We analysed reporting rates per health facility for a period of six weeks before the intervention and seven weeks during the interventions.</p>','<p>At week 22, reporting was 27% completeness and 12% timeliness against 80% recommended rate for the Ministry of Health respectively. Generally, there was an increase in completeness and timeliness in the majority of the weeks. There was a drop in week 32 to 50%. By week 34, reporting was 89% completeness and 85% timeliness</p>','<p>Weekly reminders and phone calls to health workers increased reporting rates both timeliness and completeness. We recommended routine monitoring and mentorship to improve quality of data.</p>','<p>Disease surveillance, Weekly Surveillance, Data Reporting, Completeness, Timeliness, Uganda</p>','5','5','4','3','5','4',NULL,'Accept','Poster','Yes','<p>Title: Ok&nbsp;</p><p>Background: Ok&nbsp;</p><p>Methods: Ok.</p><p>Results: Ok. What is majority of the weeks in this context?&nbsp;</p><p>Conclusion: Ok, what is routine monitoring in this aspect for someone to get a clear message?</p>','2025-06-02 10:13:00','2023-05-13 18:23:31',NULL,88),(879,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Violet','Chemutai','female','uganda','chemutaiviolet5@gmail.com','<p>Mbale Regional Referral Hospital</p>','resident',NULL,NULL,'intermediate','maternal-reproductive-and-child-health','Allan Komakech; Uganda National Institute of Public Health; akomackech@musph.ac.ug \r\nIrebe B. Kyamwine; Uganda National Institute of Public Health; ikyamwine@uniph.go.ug \r\nSarah Elayeete; Uganda National Institute of Public Health; selayeete@musph.ac.ug \r\nLilian Bulage; Uganda National Institute of Public Health; lbulage@uniph.go.ug\r\nDoreen N. Gonahasa; Uganda National Institute of Public Health; dorynegona@uniph.go.ug','<p>Incidence of Preeclampsia among Pregnant Women attending Mbale Regional Referral Hospital, Uganda January–December, 2022</p>','<p>Preeclampsia (PE) is a pregnancy complication presenting with new onset of high blood pressure (≥140/90mmHg) and proteinuria occurring at or after 20 weeks of gestation. In 2020, PE accounted for 21.4% maternal death, 20.3% stillbirths, and 1.1% neonatal deaths. Despite documented PE statistics, there is inadequate information on PE incidence by regions. We estimated the incidence of PE among pregnant women attending Mbale Regional Referral Hospital, January-December, 2022 to inform control interventions.</p>','<p>We conducted a cross sectional descriptive study using surveillance data of pregnant women attending care for the period January–December, 2022. We collected data from maternity admission, antenatal registers, and report books. We collected socio-demographic characteristics of pregnant women including: age, parity, mode of delivery, pregnancy outcome, maternal outcome, referral status, and place of birth. We estimated PE incidence by dividing the number of PE cases by total of 13,779 pregnant women.</p>','<p>A total of 13,779 pregnant women attended maternity care at Mbale RRH, of which 328 (2.4%) had PE. Of the 328 pregnant women with PE, 108 (32.9%) were between 20-24 year of age, 166 (50.6 %) were prime gravida mothers, 174(57%) had delivered by caesarian section, 284 (87%) delivered live babies, 20 (6%) had fresh still birth, and 22 (7%) had macerated still birth. The overall incidence of PE in Mbale RRH was 23.8 per 1,000 pregnant women with two deaths CFR=0.61%. PE was high among women aged ≥45 years and para≥ 9 women (100/1,000) and (26.6/1,000) respectively.</p>','<p>In our setting, mothers with advanced age (≥45 years) and those who had ≥9 pregnancies were most affected. Efforts to reduce PE with a focus on the most affected population is recommended through further research in this setting.</p>','<p>Preeclampsia, Pregnant Women, Maternal death, Stillbirth, Maternity, Uganda</p>','5','3','4','5','5','4',NULL,'Accept','Poster','Yes','<p>Title: Ok&nbsp;</p><p>Background: Ok&nbsp;</p><p>Methods: Were there any case definitions your study?</p><p>Results: Not clear why you indicated parity =&gt;9 as a group of high PE. Reffer to my question in methods above. I know we have primigravida, multipara, grand multipara etc, with their cut off points.</p><p>Conclusion: Ok</p>','2025-06-03 10:13:00','2023-05-14 18:05:24',NULL,88),(880,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Gertrude','Abbo','female','uganda','gertrudeduku93@gmail.com','<p>Masaka Regional Referral Hospital</p>','resident',NULL,NULL,'intermediate','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Alex Ndyabakira; Uganda National Institute of Public Health; andyabakira@musph.ac.ug\r\nHilda Nansikombi; Uganda National Institute of Public Health; hnansikombi@musph.ac.ug\r\nLilian Bulage; Uganda National Institute of Public Health; lbulage@musph.ac.ug\r\nDoreen N. Gonahasa; Uganda National Institute of Public Health; hnansikombi@musph.ac.ug','<p>Descriptive Analysis of Malaria, Masaka Region, Uganda, January - December 2022</p>','<p>Uganda has one of the highest global burden of malaria cases, with over 90% of the population at risk. The disease is responsible for 30 - 50% of outpatient visits and 15 - 20% of hospital admissions. For many years malaria has been the leading cause of outpatient department (OPD) attendance in the Masaka Region. According to the Uganda Malaria Action Program for Districts’ report (MAPD) of 2021, malaria was responsible for 32% of all out-patient (OPD) visits in Masaka Region. We determined the incidence of malaria in Masaka region by person, place and time from January to December 2022.</p>','<p>We conducted a cross sectional descriptive analysis of monthly malaria cases reported by the 13 districts in Masaka Region, from January–December 2022. We abstracted data on age, sex and district of malaria cases from the District Health Information System version 2 (DHIS2). We determined frequencies and proportions of each variable. We developed malaria channels for most affected districts in the region by abstracting malaria cases reported in DHIS2 for the past 5 years.</p>','<p>Overall, the region reported 809,670 cases with an incidence of 312 cases/1,000 population from January–December 2022. Females were more affected (342 cases/1,000) compared to males (280 cases/1,000 population). Cases aged 10-19 years were most affected with an incidence of 406 cases/1,000 population while cases aged 20 years and above were least affected with an incidence of 228 cases/1,000 population. Rakai District was the most affected with 542 cases/1,000 population while Masaka District registered lowest incidence of 159 cases/1,000 population. The malaria channels indicated an upsurge in the region in most parts of the year 2022.</p>','<p>Rakai, Kyotera and Butambala Districts were most affected reporting the highest malaria incidence &gt;400/1,000 population. There is need to implement effective malaria prevention programs such as capacity building and technical support to district health teams in support of the national malaria control strategy by targeting most affected districts in the Masaka Region.</p>','<p>Malaria, Malaria incidence, Uganda</p>','5','4','4','5','5','4',NULL,'Accept','Poster','Yes','<p>Title: Ok&nbsp;</p><p>Background: Ok&nbsp;</p><p>Methods: Ok</p><p>Results: For binary variable if one aspect is presented no need to mention the other . e,g F and M in this case</p><p>Conclusion: Ok</p>','2025-06-04 10:13:00','2023-05-14 18:08:37',NULL,88),(882,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','mr','Patrick','King','male','uganda','kingp@uniph.go.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Brenda Nakafeero Simbwa; Uganda National Institute of Public Health; bsimbwa@uniph.go.ug \r\nPeter Chris Kawungezi; Uganda National Institute of Public Health; peter@uniph.go.ug\r\nJob Morukileng; Uganda National Institute of Public Health; jmorukileng@uniph.go.ug\r\nMercy Wendy Wanyana; Uganda National Institute of Public Health; mwendy@musph.ac.ug\r\nRichard Migisha; Uganda National Institute of Public Health; rmigisha@uniph.go.ug\r\nDaniel Kadobera; Uganda National Institute of Public Health; dkadobera@uniph.go.ug\r\nBenon Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@uniph.go.ug','<p>Gastrointestinal anthrax outbreak investigation in Ibanda District, Southwestern Uganda, August, 2022</p>','<p>Anthrax outbreaks associated with exposures to meat from cows that die suddenly are increasingly common in Uganda, with three outbreaks reported during January-July 2022. In Uganda, animals that die suddenly are supposed be notified to authorities and disposed of safely. On August 23, 2022, the MoH was alerted about a community death due to suspected anthrax in Ibanda District. We investigated to determine the scope of the outbreak and possible exposures and recommend suitable measures to control the outbreak.</p>','<p>We defined suspected gastrointestinal anthrax as acute-onset diarrhea or vomiting in a resident of Ibanda District during August 12–30, 2022. Confirmed cases were suspected cases with a clinical sample positive for Bacillus anthracis by culture or PCR. We reviewed health facility records to collect data on cases. We conducted a retrospective cohort study including all persons &gt;9 years of age in all households potentially exposed to an anthrax-infected animal during this period and used log-binomial regression to identify risk factors.</p>','<p>There were 45 suspected cases (1fatal) and 1 confirmed case. Twenty-seven (60%) were males; median age was 27 (IQR 12-45) years. Case-patients presented with abdominal pain (96%), vomiting (60%), and non-bloody diarrhoea (57%). Compared to unexposed cohort members, persons who ate (RR=4.7, 95%CI: 1.8-12.6) or ate and prepared the meat (RR=4.9, 95%CI: 1.3-13.5) were at increased risk. Compared to those eating only boiled meat, those who ate only roasted meat (RR=2.7, 95%CI: 1.1-6.2) or fried and roasted meat (RR=2.8, 95%CI:1.2-6.7) were at increased risk. Twenty-five (89%) case-patients who provided information on the source of meat purchased meat from Butcher A. Interviews revealed that Butcher A obtained meat of a cow that died suddenly from the neighbouring district of Kazo and sold it in the community below the normal price.</p>','<p>Despite guidelines preventing butchering or eating animals that die suddenly, communities continue this practice, leading to anthrax outbreaks. Continued sensitization of the community on the health risks of eating meat of animals that have died of unknown causes, regular meat inspection, and annual vaccination of animals against anthrax in Ibanda and neighbouring districts could reduce the anthrax burden in Uganda.</p>','<p>Gastrointestinal anthrax, Anthrax, Outbreak, Uganda</p>','4','3','4','4','4','4',NULL,'Accept','Oral','Yes','<p>Methods: Please define the cohort clearly stating the criteria for the exposed and non-exposed (control) groups.</p><p>Results: Mention the public health action taken during the outbreak.</p>','2025-06-05 10:13:00','2023-05-10 12:13:11',NULL,85),(884,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','ms','Rebecca','Akunzirwe','female','uganda','akunzirwer@uniph.go.ug','<p>Uganda Public Health Fellowship Program</p>','resident',NULL,NULL,'advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Richard Migisha; Uganda National Institute of Public Health; rmigisha@uniph.go.ug\r\nEleanor Magongo; Uganda National Institute of Public Health; eleanormagongo@gmail.com \r\nMiriam Nakanwagi; Uganda National Institute of Public Health; mnakanwagi@musph.ac.ug \r\nIvan Arinaitwe; Uganda National Institute of Public Health; dkadobera@uniph.go.ug\r\nDaniel Kadobera; Uganda National Institute of Public Health; dkadobera@uniph.go.ug','<p>Trends in HIV Differentiated Service Delivery Model utilization among children and adolescents in Uganda, 2020-2022</p>','<p>HIV programs struggle to provide care to children and adolescents living with HIV (CALHIV). Differentiated service delivery models (DSDM) aim to make HIV care more client-centered and improve diagnosis, retention, and viral load suppression. DSDM in Uganda comprise two community-based models [community-client-led ART distribution (CCLAD) and community drug distribution points(CDDP)] and three facility-based models [facility-based individual management (FBIM), facility-based group management (FBGM), and fast-track drug refill (FTDR)]. They are also classified by level of follow-up as ‘intensive’ (FBGM and FBIM) or ‘less intensive’ (community-based models and FTDR). All CALHIV in Uganda were initially assigned to intensive DSDM. Recently, less intensive DSDM have been expanded to include CALHIV. We assessed DSDM utilization by CALHIV in Uganda from January 2020 to December 2022.</p>','<p>We extracted data from District Health Information System for DSDM used by CALHIV (aged 0-19 years) during the study period. We calculated the proportion of CALHIV enrolled on ART by DSDM each quarter and assessed trend significance using the chi-square test for trends.</p>','<p>Among 89,409 CALHIV on ART with data during the last quarter of 2022, 69% were &lt;15 years and 31% were 15-19 years; 53% were female. Of those with data (74-99% by quarter), almost all (96-100%) enrolled in facility-based models. Utilization of the less intensive facility-based model (FTDR) ranged from 15-28% by quarter; utilization of intensive facility-based models ranged from 72-85%. FTDR utilization over the 12 quarters increased from 0% to 12% among children aged &lt;10 years, 14% to 29% among ages 10-14 years, and 19% to 32% among ages 15-19 years (p&lt;0.001).</p>','<p>Expansion of DSDM options for CALHIV led to an increase in CALHIV utilization of less intensive models. However, community DSDM enrolments remained low. Studies to address this gap may enable improved enrolment in and continuity of HIV care and treatment for CALHIV.</p>','<p>DSDM, children, Uganda</p>','4','4','3','3','4','3',NULL,'Accept','Poster','Yes','<p>Methods: State upfront that this is a secondary data analysis</p>','2025-06-06 10:13:00','2023-05-10 12:18:45',NULL,85),(885,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','mr','WILSON','TUSIIME','male','uganda','wtusiimeh@gmail.com','<p>Makerere University School of Public Health</p>','alumni',NULL,NULL,'advanced','maternal-reproductive-and-child-health','Richard Mangwi Ayiasi, Makerere University, mangwirichard@gmail.com\r\nEric Segujja, Makerere University School of Public Health, essegujja@musph.ac.ug','<p>INTIMATE PARTNER VIOLENCE DURING PREGNANCY AND ASSOCIATED FACTORS AMONG WOMEN ATTENDING ANTENATAL CARE KABALE REGIONAL REFERRAL HOSPITAL IN UGANDA</p>','<p>Intimate Partner Violence (IPV) refers to actual physical and or sexual violence occurring in marriage or dating relationships. IPV is globally widespread and 35% of the women are reported to be victims. IPV during pregnancy endangers both the mother and unborn baby and it is associated with increased risk of HIV infection, foetal death, and premature rupture of the membrane. With the paucity of data in the developing countries, this study sought to determine the prevalence of IPV; factors associated and established the coping strategies women considered.</p>','<p>This was a cross sectional mixed methods study design. The study was facility based, conducted at Kabale hospital, Uganda in 2016. Pregnant women aged between 15 and 49 were recruited using systematic sampling. Women who reported that they were slapped, kicked, punched, burnt with an object, pushed and forced to have sex were considered to have faced IPV. In-depth interviews with victims of IPV were used to establish the coping strategies.</p>','<p>It was noted that 30% (69/211) women had been abused during pregnancy. Women who never used alcohol before sex (AOR: 0.02; 95% CI: 0.003, 0.16), women whose husbands never insisted on sex (AOR: 0.06; 95% CI: 0.02, 0.2) were less likely to be abused. While women who had ever been abused in their relationship (AOR: 13.3; 95% CI: 3.76, 47.09), Women with younger male partners were (AOR: 5.7; 95% CI: 0.89, 36.9) were likely to be abused. Qualitatively; alcohol abuse, infidelity, HIV infection and discordance, peer pressure and duration of the pregnancy were reported. The coping strategies included seeking help, employment, running away, separation, feigning sickness, silence, separation and tolerance.</p>','<p>The factors associated with IPV require a change in the mind-set of men and the entire society in order to instil respect for women. There is need for male involvement in antenatal care.</p>','<p>Intimate Partner Violence during pregnancy in Kabale, Uganda</p>','4','4','3','3','4','4',NULL,'Accept','Oral','Yes','<p>Method The number of study population of both the qualitative and quantitative methods were not mentioned.&nbsp;</p><p>Results: Include more information in the result section.</p>','2025-06-07 10:13:00','2023-05-10 12:24:56',NULL,85),(886,'Angela Kisakye','Scientific Writer','akisakye@musph.ac.ug','ms','Sherifah','Nabikande','female','uganda','nabikandesharifah@live.com','<p>Makerere University School of Public Health</p>','alumni',NULL,NULL,'advanced','hiv-aids-tuberculosis-and-other-opportunistic-infections','Julianna Namutundu, Makerere University School of Public Health, jnamutundu@musph.ac.ug\r\nSteven N Kabwama, Makerere University, School of Public Health, skabwama@musph.ac.ug\r\nAnne R Katahoire, Makerere University, annekatahoire@yahoo.co.uk','<p>Assessing late presentation for HIV care among men living with HIV enrolled on Antiretroviral Therapy in Eastern Uganda, 2020</p>','<p>Immediate initiation on antiretroviral therapy (ART) after HIV diagnosis has significant benefits of reducing viral load and risk of mortality; enhancing retention in care; and improving quality of life among people with HIV. However, late presentation for HIV care remains prevalent in Africa especially among men. We assessed prevalence and factors associated with late presentation for HIV care among men in Uganda.</p>','<p>We conducted a cross sectional study between October and November 2020, among adult men living with HIV and enrolled on ART at a large volume HIV-care facility in Eastern Uganda. We used systematic sampling to recruit 394 participants who were interviewed using structured questionnaires to assess patient characteristics at initial ART enrolment and each patient’s medical record abstracted to record initial CD4 cell count. Participants with a CD4 cell count less than 350, at ART initiation were categorised as late presenters. Descriptive statistics and modified Poisson regression analysis were conducted to determine the prevalence and factors associated with late presentation for HIV care.</p>','<p>Overall, 313/394 (79.4%) of the participants had presented late for HIV care. Late presentation for HIV care was significantly higher among participants who were aged 18-24 years compared to those who were aged 25-34 [adjusted prevalence ratio (aPR)=0.13; 95%CI: 0.03-0.60] and 35-49 years [aPR= 0.47; 95%CI: 0.24-0.91] at the time of ART initiation. Late presentation was also significantly higher among participants who reported not receiving social support from their families compared to those who had received social support after HIV diagnosis [aPR=0.36; 95%CI: 0.18-0.73].</p>','<p>Late presentation for HIV care was high especially among younger men. Strategies to improve early presentation for HIV care should target young men (18-24 years). Involving family members to ensure provision of social support to newly diagnosed HIV positive individuals could also potentially improve early enrollment.</p>','<p>Antiretroviral Therapy, late presentation, HIV care, men, Uganda</p>','0','0','0','0','0','0',NULL,'Accept','Poster','Yes','<p><strong>Background</strong>: Would be better to mention the magnitude of the problem. What proportion of men present late at HIV clinics?</p><p><strong>Methods</strong>: Mentioning \"Adult men\" is not very clear on the cut-off age. Tell the reader who are those adults. Is it &nbsp;14 years and above, 18 years and above? etc</p><p><strong>Results</strong>: If you say the late presentation was higher among men aged 18-24 years compared to 25-34 years and aPR = 0.13, it is confusing. Looks like reference group flipped and now younger age group 18-24 years is protective against late presentation. Presentation of results should be revised.</p>','2023-05-25 10:13:00','2023-05-20 08:07:25',NULL,22),(888,'Alex Riolexus Ario','Program Director','riolexus@uniph.go.ug','dr','Allan','Komakech','male','uganda','akomackech@musph.ac.ug','<p>Uganda Public Health Fellowship Program</p>','alumni',NULL,'13/01/2023','advanced','public-health-emergency-preparedness-surveillance-outbreak-investigations-and-response','Judith Drazidio\r\nPetranilla Nakamya\r\nDaniel Kadobera; Uganda National Institute of Public Health; dkadobera@uniph.go.ug\r\nLilian Bulage; Uganda National Institute of Public Health; lbulage@uniph.go.ug\r\nBenon Kwesiga; Uganda National Institute of Public Health; benon.kwesiga@uniph.go.ug\r\nAlex R. Ario; Uganda National Institute of Public Health; riolexus@uniph.go.ug\r\nJulie R. Harris; US CDC; ggt5@cdc.gov','<p>Post COVID-19 condition among individuals hospitalized during Wave 1 and Wave 2 at Mulago National Referral Hospital and Entebbe Regional Referral Hospital, Uganda, 2020-2021</p>','<p>The presence of long-term symptoms among COVID-19 survivors is referred to as post COVID-19 condition (PCC). PCC is especially prevalent in COVID-19 patients requiring hospitalization. In Uganda, there is no standardized tracking or care for survivors and the burden of PCC is unknown. We described the spectrum of PCC and risk factors for PCC among persons hospitalized with COVID-19 in Uganda to inform healthcare decision-making.</p>','<p>We conducted a retrospective cohort study among randomly-selected COVID-19 survivors hospitalized at Mulago and Entebbe Referral Hospitals during Wave 1 (October 2020-December 2020) and Wave 2 (May 2021-June 2021) of the pandemic in Uganda. A PCC case was defined as persistent, returning, or new COVID-19 symptoms occurring during the 4-12 weeks after onset for non-severe disease, and during the 8-12 weeks from onset for severe disease, without an alternative diagnosis in a person with confirmed SARS-CoV-2 infection. Patients were contacted by phone to collect information on PCC using a standardized interview form. We used multivariable modified Poisson regression to establish risk factors for PCC.</p>','<p>Among 798 COVID-19 survivors (Wave 1: 391; Wave 2: 407), we identified 63 (16%) cases of PCC in Wave 1 and 81 (20%) in Wave 2. The commonest PCC symptoms among Wave 1 patients were chest pain (14; 18%) and cough (11; 14%), while in Wave 2 patients, they were fatigue (16; 20%), cough (16; 20%) and chest pain (15; 19%). Having had severe disease (aIRR=2.0, 95%CI: 1.4-2.6) and any comorbidity (aIRR=1.9, 95%CI: 1.2-2.8) during Wave 1, and any comorbidity (aIRR=2.6, 95% CI 2.1-3.3) during Wave 2 were associated with PCC.</p>','<p>Approximately 1 in 5 previously-hospitalized COVID-19 survivors experienced PCC during both waves, with comorbidities and a history of severe disease predicting PCC. We recommend close follow-up of such patients to ensure they receive appropriate post-COVID-19 care.</p>','<p>COVID-19, post COVID-19 condition, hospitalized, Uganda</p>','4','3','4','3','3','4',NULL,'Accept','Oral','Yes','<p>Results: Provide more information on the severe disease and specify the commobilities</p>','2025-06-08 10:13:00','2023-05-10 12:30:41',NULL,85);

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INSERT INTO `users` VALUES (1,'Admin','mnkanika@afenet.net',NULL,'$2y$10$VxF8GeB2qJrRX7ctZC454OpxrKqACAoMmfBFF1NUIR7pzNRp5us46','bIqPgvLhYG3GxD6Xu945YbOQQ9tlCnEPtTnUGUfgRgwQR1mMRB2Zz3E52NUp',NULL,'2023-05-10 13:00:49',NULL),(2,'test','test@admin.com',NULL,'$2y$10$M2D69/zcd/.nLujrD.4rNuflbhoEDVYXGUdwgbEZLCOvOYAuTCXwW',NULL,'2023-04-25 10:13:27','2023-04-25 10:13:27',NULL),(3,'Abdulnasir Abagaro','adlnsr@yahoo.com',NULL,'$2y$10$F3el/y8QKzAqosAcFksSVeh6BQ6ALYzCyTYaO4Ke0OJwFNCxHH5DG',NULL,NULL,NULL,NULL),(4,'Abigiya Wondimagegnehu','abitowon@gmail.com',NULL,'$2y$10$F3el/y8QKzAqosAcFksSVeh6BQ6ALYzCyTYaO4Ke0OJwFNCxHH5DG',NULL,NULL,NULL,NULL),(5,'Abisola Oladimeji','abisola_oladimeji@yahoo.com',NULL,'$2y$10$F3el/y8QKzAqosAcFksSVeh6BQ6ALYzCyTYaO4Ke0OJwFNCxHH5DG',NULL,NULL,NULL,NULL),(6,'Adama Ndir ','uwf2@cdc.gov',NULL,'$2y$10$dEIeVDWk1uEj/l.DMnp/5OQV4zo2tWxVJdRI7TDMna9AIDM5hl5Z6','fb1tdmDG0zv9VQukpeQbMwK6XFqjPUrZJAhjg6fYnjtNsCo7LKAgkZFoCWGm',NULL,'2023-05-21 19:14:38',NULL),(7,'Addmore Chadambuka','achadambuka@afenet.net',NULL,'$2y$10$7a3HdD30FSb0a0uaktCSYec1u1eTI5FbRQgJAYDaeurZ8sdzDUjC.','qMY1nOoAWjUWVvHFMRY4EMmneWedKnqfnAStb3i0uWtgZuRycCVq3LS0O7WW',NULL,'2023-06-06 05:44:22',NULL),(8,'Adefisoye Adewole','aadewole@afenet.net',NULL,'$2y$10$feiuZZp2KHJWP8l0rr9k0u0ISgvmJ95crxm6VpEMqKBWeGZ/7dYUy','zOVJejrh1iKbIqKuFhWbZnoFHdCbITbByFfHOfpVrBSl3kx8QMZNTv2We77a',NULL,'2023-04-30 14:47:40',NULL),(9,'Adel Elduma','ahussein@afenet.net',NULL,'$2y$10$Qd2TnFPLa/hgBPJh8A3qxO8LGYgafubNpOpYzkCoOOGggKFfhZFs.','bNt6K6nD2GQcIYlqgf7raMvVSmpRGzixNWPMNhr6fDIcQ4T0ppVTKh6Bc7vy',NULL,'2023-04-30 17:04:40',NULL),(10,'Ahmed Abade','aabade@feltp.or.ke',NULL,'$2y$10$2YpF5sBWmR.nh.w5iRN1zOK2dpf5.HRzeA0f5cMOBUhxyKdBfnXqq','dJWFzMJXDiUt30g1LUzYUBQPJsshCKki8ZSZGX1ScQGbuhl9eBxBc7GoDK1a',NULL,'2023-05-28 07:58:07',NULL),(11,'Aisha Sadiq','Ayeesha_mamie@yahoo.com',NULL,'$2y$10$ygM7w6B2M6kAqYZuJMbNUuWsw/Qh9LljbKxjcUsnleusREDMTW/.i','wXEGmdTYFk4Uqayd66JWg8wVgmHCOL1KBTdlrIDcBQ9CpHR1AWbY4q5pITwE',NULL,'2023-05-14 21:01:12',NULL),(12,'Aishat usman','labukol@yahoo.com',NULL,'$2y$10$VQJJzZv3lgBzsgNXVEgjl.G4G4qLdbzTmCy3y3kSJqPfnss8AJ80i',NULL,NULL,NULL,NULL),(13,'Dr Oladipo Ogunbode','oladipo.ogunbode@ncdc.gov.ng',NULL,'$2y$10$snYKOqFiUqmsnJP9u/6e.OauOjaxmCCpDKLzspbQC1xP257WY3PD2','FJZqAk38rp0Dd8nxBEbzhhb5OY9CNAP85f0o7ykBBoI59GcAx3k9zEgwjGY0',NULL,'2023-05-23 09:02:33',NULL),(14,'Yanogo Pauline','yanogo.pauline@yahoo.fr',NULL,'$2y$10$F3el/y8QKzAqosAcFksSVeh6BQ6ALYzCyTYaO4Ke0OJwFNCxHH5DG',NULL,NULL,'2023-05-17 15:48:13',NULL),(15,'Alain Magazani','alain.magazani@gmail.com',NULL,'$2y$10$kFpM.8ngrKC2zEBhradNK.2YdymwWjLQelqfKlJoIfIyff.Kvk4.O','2wOx69784E4JAVzHlfoMXOQEYQNnHVwhFAqyaOy1TthIqiBxkSSt56E9mN44',NULL,'2023-05-22 07:41:02',NULL),(16,'Alex Ario 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