Improving influenza vaccination and pandemic response strategies using data models
Official title: IP20-003, Data driven transmission models to optimize influenza vaccination and pandemic mitigation strategies - COVID-19 Supplement
Funded at University of Michigan at Ann Arbor · NIH-10907399 · Data updated 2026-11-12
This study is working on new tools to help improve flu vaccines and responses during flu outbreaks, using data from the Michigan Influenza Center to better understand how community immunity affects vaccine success, so health officials can make smarter decisions about vaccinations and treatments.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | September 1, 2020 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $360,803 |
| NIH project number | 5U01IP001138-05 |
| Project ID | NIH-10907399 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at high risk for influenza complications, such as the elderly, young children, and those with underlying health conditions.
✕Less likely to help
Patients who are not at risk for influenza or who have already been vaccinated may not receive direct benefits from this research.
What this research studies
This research focuses on developing advanced analytical tools to enhance the effectiveness of influenza vaccination and pandemic mitigation strategies. By utilizing extensive clinical data from the Michigan Influenza Center, the project aims to create predictive models that can guide timely public health responses to influenza outbreaks. The methodology includes integrating various data sources and employing statistical simulations to understand how immunity in the population affects vaccination and antiviral effectiveness. This approach seeks to provide actionable insights for health authorities to optimize vaccination campaigns and other interventions.
Why it matters
Potential benefit: If successful, this research could lead to more effective vaccination strategies and improved public health responses during influenza pandemics.
How similar studies have gone: Other research has shown success in using data-driven models to improve vaccination strategies and public health responses, indicating that this approach is promising.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Zelner, Jonathan L — University of Michigan at Ann Arbor
- Study coordinator: Zelner, Jonathan L
Related research
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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.