Tuberculosis in households with infectious cases in Kampala city: Harnessing health data science for new insights on an ancient disease with persistent, unresolved problems (DS-IAFRICA-TB) Study Protocol
. Achieving these objectives will provide evidence that data science methods are effective for early detection of potential TB cases and high-risk patients, thereby helping to reduce TB transmission in the community. The study protocol received approval from the School of Biomedical Sciences IRB, protocol number SBS-2023-495.
Authors
- Cosmas Mwikirize (ORCID: https://orcid.org/0000-0002-3393-2758)
- Mercy Takuwa
- Rogers Kamulegeya (ORCID: https://orcid.org/0000-0001-7972-3647)
- Sharon Namiiro
- Willy Ssengooba (ORCID: https://orcid.org/0000-0002-1643-110X)
- David Patrick Kateete (ORCID: https://orcid.org/0000-0001-8075-3069)
- Andrew Katumba (ORCID: https://orcid.org/0000-0001-7699-8426)
- Rose Nabatanzi (ORCID: https://orcid.org/0000-0002-7033-2241)
- Denis Musinguzi
- Joyce Nakatumba-Nabende
- Florence Nameere Kivunike
- Emmanuel Nassinghe
Institutions
- Masaka Hospital (UG)
- Office of Science (US)
- Makerere University (UG)
Publication Details
- Journal
- medRxiv
- Published
- 2026-04-25
- DOI
- https://doi.org/10.64898/2026.04.23.26351571
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00