The study used an ecological design based on the 2184 sub counties in Uganda as the spatial units. Initial exploratory analysis used measures of spatial autocorrelation (Global and Local Moran’s test statistics) in the R statistical package. Using the Anselin’s Local Moran test cluster detection method, spatial autocorrelation was applied to determine the presence of statistically significant clusters and hotspots at the sub-county level during the recent Ebola virus disease outbreak in Uganda