Quantifying undetected tuberculosis in Ethiopia using a novel geospatial modelling approach.

ABSTRACT: Tuberculosis (TB) is the leading infectious cause of death globally, with approximately three million cases remaining undetected, thereby contributing to community transmission. Understanding the spatial distribution of undetected TB in high-burden settings is critical for designing and implementing geographically targeted interventions for early detection and control. This study presents the first estimates of numbers of undetected TB cases in Ethiopia at national and local levels using novel geospatial method. We employed a Bayesian geostatistical modelling framework, incorporating national TB prevalence survey and TB notification data together with climatic and environmental variables, to estimate the number of undetected TB cases at district and national levels. Spatial clustering of u

SUBMITTER: Wolde HF 

PROVIDER: S-EPMC12484886 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature