NIH-funded research U01 cooperative agreement

Understanding tuberculosis transmission and treatment in households in Kampala.

Official title: Tuberculosis in households with infectious cases in Kampala city: Harnessing health data science for new insights on TB transmission and treatment response (DS-IAFRICA-TB)

Funded at Makerere University College of Health Sciences · NIH-11088185 · Data updated 2026-11-12

This study is looking at how tuberculosis spreads in homes in Kampala, Uganda, especially among people who might not have any symptoms, to find ways to better diagnose and treat the disease, particularly for those also living with HIV.

More Tuberculosis research and trials

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionMakerere University College of Health Sciences
NIH-funded
Lab location1 site (Kampala, Uganda)
Project startSeptember 1, 2023
Project endMay 31, 2026
Funding year2025
Award (this year)$249,999
NIH project number5U01TW012534-03
Project IDNIH-11088185 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research include individuals living in households with known TB cases, particularly those who may be asymptomatic or at risk of TB infection.

Less likely to help

Patients who do not reside in areas with high TB prevalence or those without any known exposure to TB may not benefit from this research.

What this research studies

This research investigates how tuberculosis (TB) spreads within households in Kampala, Uganda, particularly focusing on cases where individuals may not show symptoms. By utilizing advanced health data science techniques, including artificial intelligence and machine learning, the study aims to identify risk factors associated with TB transmission and treatment failures. The research will analyze demographic, clinical, and laboratory data from TB patients and their contacts to develop predictive algorithms that can improve diagnosis and treatment strategies. This approach seeks to address the unique challenges posed by the high rates of HIV/TB co-infection in the region.

Why it matters

Potential benefit: If successful, this research could lead to improved methods for diagnosing and treating tuberculosis, ultimately reducing its spread and enhancing patient outcomes.

How similar studies have gone: Previous research utilizing data science and AI in infectious disease contexts has shown promise, suggesting that this approach could yield valuable insights into TB transmission and treatment.

Where this research is happening

  • Makerere University College of Health Sciences
    Kampala, Uganda
    Active

Researchers

  • Principal investigator: Kateete, David Patrick — Makerere University College of Health Sciences
  • Study coordinator: Kateete, David Patrick

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.