Understanding immunity to coccidioidomycosis in California
Official title: Modelled estimation of population immunity for coccidioidomycosis and the role of immunologically naïve populations in the shifting epidemiology of coccidioidomycosis in California
Funded at University of Michigan at Ann Arbor · NIH-10898896 · Data updated 2026-11-12
This study is looking at how many people in California might be immune to coccidioidomycosis, a fungal infection you can get from the soil, to help us better understand how the disease spreads and how to prepare for outbreaks.
Quick facts
| Grant type | Career grant |
|---|---|
| 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 | August 3, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $118,754 |
| NIH project number | 5K01AI173529-02 |
| Project ID | NIH-10898896 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals living in California, particularly in areas where coccidioidomycosis is prevalent or emerging.
✕Less likely to help
Patients who do not reside in California or those who have already been diagnosed and treated for coccidioidomycosis may not benefit from this research.
What this research studies
This research focuses on estimating population immunity to coccidioidomycosis, a fungal infection caused by inhaling spores from the soil. By using advanced mathematical and statistical models, the study aims to identify how many people in different regions of California have immunity to this disease, which is often underreported. The research will help in understanding the dynamics of disease transmission and the impact of low immunity in newly affected areas. This work is crucial for public health planning and response to outbreaks.
Why it matters
Potential benefit: If successful, this research could lead to better prevention strategies and targeted interventions for coccidioidomycosis, ultimately reducing infection rates.
How similar studies have gone: Similar research approaches using Bayesian modeling have shown promise in estimating disease dynamics and population immunity in other infectious diseases.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Head, Jennifer — University of Michigan at Ann Arbor
- Study coordinator: Head, Jennifer
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.