Integrative Modeling and Data Analysis Core for Influenza Immunity
Official title: Integrative Modeling and Data Analysis Core
Funded at University of Missouri-Columbia · NIH-11451504 · Data updated 2026-11-12
A project hub will bring together immune data, aerosol science, and environmental factors to better understand how pre-existing immunity affects airborne influenza transmission.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Missouri-Columbia NIH-funded |
| Lab location | 1 site (Columbia, United States) |
| Project start | September 1, 2026 |
| Project end | July 31, 2031 |
| Funding year | 2026 |
| Award (this year) | $878,141 |
| NIH project number | 1P01AI202802-01 |
| Project ID | NIH-11451504 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are individuals with prior influenza exposure or vaccination history who can participate in studies measuring immune responses and transmission-related factors.
✕Less likely to help
Individuals not involved in immune or aerosol studies or without influenza exposure history may not directly benefit.
What this research studies
This grant centers on Core C, which will integrate diverse experimental results to create predictive models of how antibodies and T cells influence influenza spread through aerosols. It combines cryo-EM, computational biology, and aerosol dynamics to link antibody recognition, immune responses, and aerosol behavior with transmission outcomes. The core will also help design studies, analyze complex data like single-cell sequencing, and build fluid-dynamics models calibrated to lab data to forecast transmission under different conditions.
Why it matters
Potential benefit: If successful, it could lead to more accurate predictions of influenza spread and inform vaccines and interventions to reduce transmission.
How similar studies have gone: Previous work shows links between immunity and transmission, but this integrated framework is a novel approach that aims to unify multiple data types.
Where this research is happening
-
University of Missouri-Columbia
Columbia, United States Active
Researchers
- Principal investigator: Tao, Yizhi Jane — University of Missouri-Columbia
- Study coordinator: Tao, Yizhi Jane
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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.