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Mapping tuberculosis prevalence in Africa using a Bayesian geospatial analysis

Worldwide, tuberculosis (TB) remains the leading cause of death from infectious diseases. Africa is the second most-affected region, accounting for a quarter of the global TB burden, but there is limited evidence whether there is subnational variation of TB prevalence across the continent. Therefore, this study aimed to estimate sub-national and local TB prevalence across Africa.

Citation:
Liyew AM, Gebreyohannes EA, Python A, Clements ACA, Gilmour B, Gething PW, Amratia P, Alene KA. Mapping tuberculosis prevalence in Africa using a Bayesian geospatial analysis. Commun Med. 2025;5(1).

Keywords:
Tuberculosis; mapping; Africa; geospatial analysis

Abstract:
Worldwide, tuberculosis (TB) remains the leading cause of death from infectious diseases. Africa is the second most-affected region, accounting for a quarter of the global TB burden, but there is limited evidence whether there is subnational variation of TB prevalence across the continent. Therefore, this study aimed to estimate sub-national and local TB prevalence across Africa.