Predicting Vibrio infection severity using patient and community data
Official title: Integrating patient- and county-level data to predict Vibrio infection severity
Funded at Temple Univ of the Commonwealth · NIH-11439275 · Data updated 2026-11-12
This grant aims to build a tool that uses personal health factors and local community data to identify people at higher risk of severe Vibrio infections.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Temple Univ of the Commonwealth NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | August 5, 2026 |
| Project end | July 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $237,749 |
| NIH project number | 1R21AI202823-01 |
| Project ID | NIH-11439275 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with potential exposure to Vibrio and clinicians who treat patients in areas at risk for Vibrio infections.
✕Less likely to help
People with low risk profiles or those not exposed to Vibrio-related environments may see little direct benefit.
What this research studies
Vibriosis is a growing health concern in the U.S. The project plans to combine individual medical information with county-level data to predict who might develop severe illness after Vibrio exposure. Researchers will integrate sociodemographic and clinical factors and use statistical methods to create a risk prediction approach that accounts for both personal and community contexts. The goal is to enable quicker recognition and treatment for those at highest risk, potentially reducing serious outcomes.
Why it matters
Potential benefit: If successful, the tool could help clinicians and public health workers pinpoint high-risk individuals for earlier intervention and targeted prevention.
How similar studies have gone: Previous work has shown that combining individual and environmental data can improve risk prediction for infectious diseases, but this project explores Vibrio-specific, integrated risk modeling.
Where this research is happening
-
Temple Univ of the Commonwealth
Philadelphia, United States Active
Researchers
- Principal investigator: Wiens, Kirsten E — Temple Univ of the Commonwealth
- Study coordinator: Wiens, Kirsten 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.