Modeling how childhood infections spread and can be controlled using advanced computer techniques
Interpretable and Adaptable Graph Neural Networks: Modeling Metapopulation Dynamics of Vaccine-Preventable Childhood Infections
This study is looking at how childhood infections that can be prevented by vaccines spread in different communities, using new technology to help find better ways to protect kids through vaccination.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-11106614 on NIH RePORTER |
What this research studies
This research aims to enhance our understanding of how vaccine-preventable childhood infections spread over time and across different communities. By combining traditional models with advanced machine learning methods, the project seeks to create a more accurate predictive framework for infection dynamics. This approach will help identify effective vaccination strategies and control measures by analyzing the interactions within interconnected populations. Patients may benefit from improved public health strategies that arise from this research.
Who could benefit from this research
Good fit: Ideal candidates for this research are children who are at risk of vaccine-preventable infections and their families.
Not a fit: Patients who are not children or who are not at risk for vaccine-preventable infections may not receive benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective vaccination strategies and better control of childhood infections.
How similar studies have performed: Other research has shown promise in using machine learning techniques for modeling infectious disease dynamics, indicating that this approach could be effective.
Where this research is happening
Atlanta, United States
- Emory University — Atlanta, United States (Active)
Researchers
- Principal investigator: Lau, Siu Yin — Emory University
- Study coordinator: Lau, Siu Yin
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.