Optimizing HIV prevention strategies using modeling tools

Modeling and simulation tools for optimizing design of network-informed clinical trials of combination HIV prevention interventions

NIH-funded research University of California, San Diego · NIH-10622168

This study is working on new tools to help design better clinical trials for HIV prevention, focusing on how different strategies can work for people at risk, so we can find the best ways to stop the spread of HIV.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of California, San Diego NIH-funded
Lab location1 site (La Jolla, United States)
Project IDNIH-10622168 on NIH RePORTER

What this research studies

This research aims to develop advanced modeling and simulation tools to enhance the design of clinical trials focused on HIV prevention interventions. By utilizing agent-based epidemic modeling, the project will explore how different prevention strategies can be effectively deployed in specific populations at risk for HIV infection. The approach considers both measurable factors, like the number of sexual partners, and unmeasurable factors that influence disease spread, allowing for a more accurate understanding of intervention effectiveness. This work seeks to inform future clinical trials and improve strategies to combat the HIV epidemic.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals in sub-Saharan Africa who are at risk for HIV infection, particularly those in communities with high transmission rates.

Not a fit: Patients who are not at risk for HIV infection or those outside the targeted populations in sub-Saharan Africa may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective HIV prevention strategies tailored to specific populations, ultimately reducing the incidence of HIV infections.

How similar studies have performed: Previous research has shown success in using modeling approaches to inform public health interventions, indicating that this methodology is promising for optimizing HIV prevention strategies.

Where this research is happening

La Jolla, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions DiseaseDisorder
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.