Mapping tuberculosis prevalence in Africa using a Bayesian geospatial analysis
We find substantial variations in TB prevalence at national, sub-national, and local levels in Africa. These considerable spatial variations suggest the need for geographically targeted interventions to control TB in Africa.
Authors
- Kefyalew Addis Alene (ORCID: https://orcid.org/0000-0002-1904-4682)
- Beth Gilmour (ORCID: https://orcid.org/0000-0003-4416-5969)
- André Python (ORCID: https://orcid.org/0000-0001-8094-7226)
- Eyob Alemayehu Gebreyohannes (ORCID: https://orcid.org/0000-0002-0075-4553)
- Punam Amratia (ORCID: https://orcid.org/0000-0002-5128-3288)
- Alemneh Mekuriaw Liyew (ORCID: https://orcid.org/0000-0001-9034-6205)
- Peter W. Gething (ORCID: https://orcid.org/0000-0001-6759-5449)
- Archie Clements
Institutions
- Ifakara Health Institute (TZ)
- Queen's University Belfast (GB)
- University of South Australia (AU)
- The Kids Research Institute Australia (AU)
- The University of Western Australia (AU)
- Curtin University (AU)
- CRC for Spatial information (AU)
- Geospatial Research (United Kingdom) (GB)
- Zhejiang University (CN)
- University of Gondar (ET)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1038/s43856-025-00831-9
- Citations
- 5
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 6.77
Funders
- Curtin University of Technology
- National Natural Science Foundation of China
- Medical Research Council
- National Health and Medical Research Council
- National Key Research and Development Program of China