Using advanced models to predict and manage infectious disease outbreaks
Merging machine learning and mechanistic models to improve prediction and inference in emerging epidemics
['FUNDING_R01'] · UNIV OF NORTH CAROLINA CHAPEL HILL · NIH-10757929
This study is working on better ways to predict outbreaks of infectious diseases like cholera, so that communities can get the right help and resources when they need it most.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIV OF NORTH CAROLINA CHAPEL HILL (nih funded) |
| Locations | 1 site (CHAPEL HILL, UNITED STATES) |
| Trial ID | NIH-10757929 on ClinicalTrials.gov |
What this research studies
This research focuses on improving predictions of where and how many cases of infectious diseases, like cholera, will occur during outbreaks. By merging machine learning techniques with traditional epidemic models, the project aims to provide more accurate forecasts that can guide public health interventions. The approach involves analyzing data from past outbreaks to enhance decision-making about where to allocate resources and implement preventive measures. Patients and communities affected by infectious diseases may benefit from more effective public health responses based on these improved predictions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals living in regions prone to infectious disease outbreaks, particularly cholera.
Not a fit: Patients who are not in areas affected by cholera or other targeted infectious diseases may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective public health strategies that save lives during infectious disease outbreaks.
How similar studies have performed: Previous research has shown that combining different modeling approaches can enhance predictions in public health, suggesting this method may also be effective.
Where this research is happening
CHAPEL HILL, UNITED STATES
- UNIV OF NORTH CAROLINA CHAPEL HILL — CHAPEL HILL, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LESSLER, JUSTIN — UNIV OF NORTH CAROLINA CHAPEL HILL
- Study coordinator: LESSLER, JUSTIN
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: Infectious Disease Pathway, Infectious Diseases, Infectious Disorder, Communicable Diseases, Disorder