Modeling how childhood infections spread and can be controlled using advanced computer techniques
Official title: Interpretable and Adaptable Graph Neural Networks: Modeling Metapopulation Dynamics of Vaccine-Preventable Childhood Infections
Funded at Emory University · NIH-11106614 · Data updated 2026-11-12
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 start | May 13, 2025 |
| Project end | April 30, 2030 |
| Funding year | 2025 |
| Award (this year) | $711,555 |
| NIH project number | 1R01AI189829-01 |
| Project ID | NIH-11106614 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children who are at risk of vaccine-preventable infections and their families.
✕Less likely to help
Patients who are not children or who are not at risk for vaccine-preventable infections may not receive benefits from this research.
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.
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 gone: 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
-
Emory University
Atlanta, United States Active
Researchers
- Principal investigator: Lau, Siu Yin — Emory University
- Study coordinator: Lau, Siu Yin
Related research
Other NIH-funded projects on the same topics.
-
Administrative and Engagement Core for Breast Cancer Breakthrough in Kenya
A national effort in Kenya to speed up how we screen for breast cancer and connect women to treatment, using teamwork across institutions.
-
Collaborative research program to advance patient care
A multi-project research effort at Emory University aims to push forward medical knowledge that could help people with illnesses in the future.
-
Project-003: A multi-partner research program at Emory University
A multi-faceted NIH grant at Emory University aims to advance understanding in a focused area over several years to benefit patients with diseases or conditions connected to the research.
-
Project-002: advancing patient care through coordinated research at Emory
A multi-project NIH grant at Emory aims to translate findings into better care for people with a health condition by coordinating research efforts across teams.
-
Project-006: A Multidisciplinary Emory Initiative to Advance Medical Understanding
A multi-project NIH grant at Emory University aims to push forward medical knowledge in areas that could eventually help patients.
-
Project-005: A multi-component research effort at Emory University
A multi-part NIH grant from Emory University aims to advance understanding in a specific health area over several years with potential patient benefits in the future.
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.