Understanding how to eliminate infectious diseases
Modeling the dynamics of disease elimination
This study is looking at how we can use math to help public health officials find the best ways to get rid of diseases like COVID-19 and antibiotic-resistant infections, so everyone can stay healthier.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project ID | NIH-10896194 on NIH RePORTER |
What this research studies
This research investigates the dynamics of eliminating infectious diseases using mathematical modeling. By analyzing extensive epidemiological data, the project aims to develop tools that help public health officials understand how to effectively reduce and eliminate diseases like COVID-19 and antibiotic-resistant infections. The approach includes evaluating various strategies such as mass drug administration, vaccination, and antibiotic stewardship. The goal is to identify conditions under which disease transmission can be reduced to a level where it can be eliminated.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals living in communities affected by infectious diseases, particularly those with low vaccination rates or high rates of antibiotic resistance.
Not a fit: Patients who are not affected by infectious diseases or who live in areas with effective disease control measures may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective strategies for eliminating infectious diseases, improving public health outcomes.
How similar studies have performed: Previous research has shown success in using mathematical modeling to understand disease dynamics, making this approach both promising and validated.
Where this research is happening
San Francisco, United States
- University of California, San Francisco — San Francisco, United States (Active)
Researchers
- Principal investigator: Blumberg, Seth — University of California, San Francisco
- Study coordinator: Blumberg, Seth
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.