Understanding tuberculosis transmission and treatment in households in Kampala.
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)
['FUNDING_U01'] · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · NIH-11088185
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.
Quick facts
| Phase | ['FUNDING_U01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES (nih funded) |
| Locations | 1 site (KAMPALA, UGANDA) |
| Trial ID | NIH-11088185 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: 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.
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 performed: 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
KAMPALA, UGANDA
- 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
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions: Acquired Immune Deficiency Syndrome Virus, Acquired Immunodeficiency Syndrome Virus