Improving methods to prevent the spread of infectious diseases.
Official title: Generalizing Effects of Infectious Disease Prevention Interventions in the Presence of Interference
Funded at Univ of North Carolina Chapel Hill · NIH-10863672 · Data updated 2026-11-12
This study is looking at new ways to measure how well different treatments work to prevent infectious diseases, so we can better understand and improve health strategies for everyone in the community.
Quick facts
| Grant type | Career grant |
|---|---|
| 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 | July 25, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $169,811 |
| NIH project number | 1K01AI182506-01 |
| Project ID | NIH-10863672 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include children under 11 years old and individuals affected by infectious diseases such as COVID-19 or HIV/AIDS.
✕Less likely to help
Patients who are not affected by infectious diseases or who are outside the age range of 0-11 years may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing the statistical methods used to evaluate the effectiveness of medical and behavioral interventions aimed at preventing infectious diseases. It addresses the challenges of interference, where the treatment of one individual can impact the outcomes of others, and aims to improve the generalizability of findings to broader populations. By training in infectious disease epidemiology and machine learning, the researcher seeks to develop innovative statistical techniques that can better inform public health strategies. This work is particularly relevant for understanding how interventions can be optimized in community settings.
Why it matters
Potential benefit: If successful, this research could lead to more effective strategies for preventing the spread of infectious diseases, ultimately improving public health outcomes.
How similar studies have gone: While the intersection of interference and generalizability in infectious disease research is relatively novel, similar approaches in other areas have shown promise in improving intervention effectiveness.
Where this research is happening
-
Univ of North Carolina Chapel Hill
Chapel Hill, United States Active
Researchers
- Principal investigator: Shook-Sa, Bonnie E — Univ of North Carolina Chapel Hill
- Study coordinator: Shook-Sa, Bonnie E
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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.