Using social and spatial data to reduce HIV rates in the U.S.
Official title: Leveraging Extensive Social Determinants Data and Spatial Data Science to Reduce HIV Incidence across the United States Ending the HIV Epidemic Counties
Funded at Yale University · NIH-10923338 · Data updated 2026-11-12
This study is looking at how location and race affect HIV diagnosis and prevention, especially in places with high HIV rates, to make sure that people who need it most can get access to prevention tools like PrEP.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | August 26, 2024 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $825,988 |
| NIH project number | 1R01MH135807-01A1 |
| Project ID | NIH-10923338 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals living in high HIV incidence areas, particularly those from racial and ethnic minority groups who may face barriers to accessing HIV prevention services.
✕Less likely to help
Patients living in regions with low HIV incidence or those who already have adequate access to HIV prevention resources may not benefit from this research.
What this research studies
This research focuses on identifying and addressing geographic and racial disparities in HIV diagnosis and prevention, particularly in areas with the highest rates of HIV in the United States. By analyzing social determinants and spatial data, the project aims to pinpoint hotspots for new HIV infections and areas lacking access to pre-exposure prophylaxis (PrEP). The methodology involves advanced geospatial statistical analyses and data mining from various sources to create indicators that inform the optimal distribution of PrEP resources. This approach seeks to enhance community health by ensuring that prevention efforts are effectively targeted where they are most needed.
Why it matters
Potential benefit: If successful, this research could significantly reduce new HIV infections by improving access to prevention resources in underserved communities.
How similar studies have gone: Previous research has shown success in using social determinants and spatial data to improve health outcomes, indicating that this approach has potential for impactful results.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Ransome, Yusuf — Yale University
- Study coordinator: Ransome, Yusuf
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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.