Creating a system to improve health resource distribution during pandemics
Official title: Developing a dynamic modeling framework for surveillance, prediction, and real-time resource allocation to reduce health disparities during Covid-19 and future pandemics
Funded at Clemson University · NIH-10987063 · Data updated 2026-11-12
This study is working on a smart system to help identify and support communities, especially Black, Hispanic, and rural Americans, who need health care the most during pandemics like Covid-19, so that essential resources can be delivered quickly to improve their health.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Clemson University NIH-funded |
| Lab location | 1 site (Clemson, United States) |
| Project start | January 5, 2023 |
| Project end | November 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $545,413 |
| NIH project number | 5R01LM014193-03 |
| Project ID | NIH-10987063 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals from Black, Hispanic, and rural communities who are at higher risk of severe outcomes from infectious diseases.
✕Less likely to help
Patients who are not part of underserved communities or those with no barriers to accessing healthcare may not benefit from this research.
What this research studies
This research aims to develop a dynamic modeling framework that enhances the surveillance and prediction of health needs in underserved communities during pandemics like Covid-19. By utilizing advanced statistical models and machine learning, the project will identify high-risk populations and optimize the allocation of essential health resources in real time. The approach focuses on addressing the barriers to care faced by Black, Hispanic, and rural Americans, who have been disproportionately affected by health disparities. The ultimate goal is to ensure that timely interventions reach those who need them most, thereby improving health outcomes.
Why it matters
Potential benefit: If successful, this research could significantly reduce health disparities and improve access to care for vulnerable populations during pandemics.
How similar studies have gone: Previous research has shown that mobile health clinics can effectively reduce health disparities, indicating that this approach has potential for success.
Where this research is happening
-
Clemson University
Clemson, United States Active
Researchers
- Principal investigator: Rennert, Lior — Clemson University
- Study coordinator: Rennert, Lior
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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.