Understanding and Preventing HIV in High-Risk Communities
Leveraging Extensive Social Determinants Data and Spatial Data Science to Reduce HIV Incidence across the United States Ending the HIV Epidemic Counties
['FUNDING_R01'] · YALE UNIVERSITY · NIH-11176844
This project uses detailed information about communities to help reduce new HIV infections and improve access to prevention services in areas most affected by HIV.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | YALE UNIVERSITY (nih funded) |
| Locations | 1 site (NEW HAVEN, UNITED STATES) |
| Trial ID | NIH-11176844 on ClinicalTrials.gov |
What this research studies
New HIV diagnoses and the use of preventative medicines like PrEP vary widely across different parts of the country. This project focuses on 57 specific areas in the U.S. that have the highest rates of HIV. We are using advanced data science to pinpoint exactly where new HIV cases are appearing and where there might be a shortage of PrEP providers. Our goal is to understand how factors like transportation, community mental health, social connections, and local religious institutions affect HIV prevention. By identifying these key factors, we can help ensure that PrEP services are placed in the most effective locations to reach people who need them.
Who could benefit from this research
Good fit: This project is not recruiting individual patients but aims to benefit communities and individuals living in or at risk of HIV in the 57 targeted high-incidence areas across the United States.
Not a fit: Patients living outside the specific high-HIV-incidence counties and states targeted by the Ending the HIV Epidemic initiative may not directly benefit from the findings of this particular grant.
Why it matters
Potential benefit: If successful, this work could lead to more effective strategies for distributing HIV prevention resources, ultimately reducing new infections and improving community health.
How similar studies have performed: While the use of spatial data science and cyberinfrastructure for this specific combination of contextual factors in HIV prevention is novel, similar data-driven approaches have shown promise in public health planning.
Where this research is happening
NEW HAVEN, UNITED STATES
- YALE UNIVERSITY — NEW HAVEN, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: RANSOME, YUSUF — YALE UNIVERSITY
- Study coordinator: RANSOME, YUSUF
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, Acquired Immune Deficiency Syndrome Virus, Acquired Immunodeficiency Syndrome, Acquired Immunodeficiency Syndrome Virus