Using mathematical models to understand and combat infectious diseases like COVID-19
Mathematical, Computational, and Predictive Modeling Core
This study is all about using math and computer models to learn more about how infectious diseases, like COVID-19, spread, so we can find better ways to prevent and treat them, which could help keep you and others healthier.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Vermont & St Agric College NIH-funded |
| Lab location | 1 site (Burlington, United States) |
| Project ID | NIH-10894869 on NIH RePORTER |
What this research studies
This research focuses on developing mathematical and computational models to better understand the spread of infectious diseases, particularly in the context of the COVID-19 pandemic. By analyzing data and creating predictive models, the research aims to improve our understanding of how diseases spread, the mechanisms behind antimicrobial resistance, and the immune responses to vaccines. The project emphasizes collaboration between biological and computational experts to enhance the effectiveness of these models in public health. Patients may benefit from improved strategies for disease prevention and treatment based on the findings of this research.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research include individuals affected by infectious diseases, particularly those impacted by COVID-19 or related conditions.
Not a fit: Patients with non-infectious diseases or those not affected by the COVID-19 pandemic may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective strategies for preventing and treating infectious diseases, ultimately improving patient outcomes.
How similar studies have performed: Other research has shown success in using mathematical modeling to understand infectious diseases, making this approach both relevant and promising.
Where this research is happening
Burlington, United States
- University of Vermont & St Agric College — Burlington, United States (Active)
Researchers
- Principal investigator: Hébert-Dufresne, Laurent — University of Vermont & St Agric College
- Study coordinator: Hébert-Dufresne, Laurent
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.