Using data science to prevent mother-to-child transmission of HIV in Malawi
Official title: Data Science and Analytical Core [Parent Title: PREVENTING INFANT INFECTIONS WITH IMPLEMENTATION SCIENCE IN MALAWI]
Funded at Univ of North Carolina Chapel Hill · NIH-11063846 · Data updated 2026-11-12
This study is working to stop the spread of HIV from mothers to their babies by using smart data tools to help pregnant women get the right treatments, so they and their little ones can stay healthy.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project start | May 15, 2023 |
| Project end | March 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $76,674 |
| NIH project number | 5P01HD112215-03 |
| Project ID | NIH-11063846 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are pregnant women living with HIV in Malawi who are receiving or are eligible for ART.
✕Less likely to help
Patients who are not pregnant or who do not have HIV may not receive any benefit from this research.
What this research studies
This research focuses on eliminating mother-to-child transmission of HIV by utilizing data science and analytical methods. It involves collaboration among experts in epidemiology, biostatistics, and implementation science to develop effective data management systems. The goal is to evaluate and improve the uptake and adherence to antiretroviral therapy (ART) and pre-exposure prophylaxis (PrEP) among pregnant women and their infants. By ensuring high-quality data management, the project aims to provide insights that can enhance health outcomes for mothers and children.
Why it matters
Potential benefit: If successful, this research could significantly reduce the rates of HIV transmission from mothers to their infants, improving health outcomes for both.
How similar studies have gone: Previous research has shown success in using data-driven approaches to improve health outcomes in similar contexts, indicating a promising potential for this approach.
Where this research is happening
-
Univ of North Carolina Chapel Hill
Chapel Hill, United States Active
Researchers
- Principal investigator: Chagomerana, Maganizo — Univ of North Carolina Chapel Hill
- Study coordinator: Chagomerana, Maganizo
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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.