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Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels

o map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa. We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.

Citation:
Liyew AM, Clements ACA, Wagnew F, Gilmour B, Alene KA. Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels. Int J Infect Dis. 2025;153.

Keywords:
Drug-resistant tuberculosis; Geospatial analysis; Prevalence; Spatial variation

Abstract:
To map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa. We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.