Using computer models to improve HIV prevention and care for Black sexual and gender minorities
Computational modeling to evaluate socio-structural interventions for HIV and substance use
This study is looking at how things like unstable housing and job loss affect HIV prevention and care for Black sexual and gender minorities who also struggle with substance use, and it aims to find the best ways to help these communities get the support they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Chicago NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project ID | NIH-10932958 on NIH RePORTER |
What this research studies
This research investigates how socio-structural factors, such as housing instability and unemployment, impact HIV prevention and care among Black sexual and gender minorities who are also facing substance use disorders. By employing advanced computer modeling techniques, specifically agent-based models, the research aims to simulate various intervention strategies to identify the most effective approaches for these vulnerable communities. The study will analyze existing data to understand the complex relationships between these factors and their effects on health outcomes, ultimately guiding the development of targeted interventions. This innovative approach seeks to address barriers that prevent engagement in HIV care and prevention.
Who could benefit from this research
Good fit: Ideal candidates for this research are Black sexual and gender minorities who are at risk for HIV and may also be dealing with substance use disorders.
Not a fit: Patients who do not identify as Black sexual and gender minorities or who are not at risk for HIV may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and tailored interventions that improve HIV prevention and care for Black sexual and gender minorities.
How similar studies have performed: Other research has shown success using computer modeling to evaluate health interventions, indicating that this approach has the potential to yield valuable insights.
Where this research is happening
Chicago, United States
- University of Chicago — Chicago, United States (Active)
Researchers
- Principal investigator: Hotton, Anna — University of Chicago
- Study coordinator: Hotton, Anna
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.