Using predictive models to help public health departments control infectious diseases
Real-time predictive modeling for public health departments to control infectious diseases
['FUNDING_OTHER'] · STANFORD UNIVERSITY · NIH-10898073
This study is working on creating tools to help health departments make smart choices about vaccinations during outbreaks, like COVID-19, by figuring out which groups and areas need them the most, so everyone can stay healthier.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | STANFORD UNIVERSITY (nih funded) |
| Locations | 1 site (STANFORD, UNITED STATES) |
| Trial ID | NIH-10898073 on ClinicalTrials.gov |
What this research studies
This research focuses on developing real-time predictive models that assist public health departments in making informed decisions about controlling infectious diseases, particularly during the COVID-19 pandemic. By analyzing epidemiological data, the project aims to identify high-risk populations and locations for targeted vaccination efforts against diseases like pertussis and seasonal influenza. The goal is to optimize resource allocation and improve public health outcomes by translating predictive modeling into actionable policies. Collaborating with the California Department of Public Health, the research seeks to enhance the effectiveness of vaccination strategies.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals living in high-risk areas for infectious diseases, particularly those susceptible to pertussis, seasonal influenza, and hepatitis A.
Not a fit: Patients who are not at risk for infectious diseases or who do not reside in targeted high-risk areas may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective vaccination strategies that significantly reduce the incidence of infectious diseases.
How similar studies have performed: Other research has shown success in using predictive modeling for public health interventions, indicating that this approach has potential for impactful outcomes.
Where this research is happening
STANFORD, UNITED STATES
- STANFORD UNIVERSITY — STANFORD, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LO, NATHAN — STANFORD UNIVERSITY
- Study coordinator: LO, NATHAN
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.
Conditions: B pertussis infection, B. pertussis infection, Bordetella pertussis infection