Introduction: Anthrax is caused by the spore-forming, Gram-positive
bacterium Bacillus anthracis. The aim of this study was to predict the
potential distribution of B. anthracis in Tanzania and produce
epidemiological evidence for the management of anthrax outbreaks in the
country. Methods: The Maxent algorithm was used to predict areas at risk
of anthrax outbreaks based on the occurrence and environmental data in
Arusha and Kilimanjaro regions; the model was later transferred to predict
the entire country. Seventy percent of the occurrence data were used to
train the model, while 30% were used for model evaluation. Results: Four
regions of northern Tanzania are predicted to have a high risk for anthrax
outbreaks, while the southern and western regions had low-risk areas. Soil
type (56.5%), soil pH (23.7%), and isothermally (10.4%) were the most
important variables for the model prediction, and the most significant
soil types were solonetz, fluvisols, and lithosols. Conclusions: A strong
risk level across districts of the Tanzania mainland was identified in
this study. A total of 18 districts in Tanzania Mainland are predicted to
be at very high risk of an anthrax outbreak occurrence. These findings are
important for policymakers to effectively mount targeted control measures
for anthrax outbreaks in Tanzania. Occurrence
dataPearson correlation
datasetPoster