Project Grant 2436227

Award Date 1/1/25
Completion Date 12/31/27
Dollars Obligated $171K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Charlotte, NC 28223, USA
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This $170,566 federal Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports the development and delivery of an innovative mathematical modeling framework to integrate public health policy, public opinion dynamics, and epidemic outcomes. The project aims to establish a detailed, integrated system that captures the complex feedback among public health policies, dynamic public opinions, and critical epidemic outcomes such as hospitalizations and deaths. Key products include:

  1. Integrated mean-field game (MFG) epidemic models that can track the co-evolution of public opinions and epidemic dynamics under heterogeneous health policies.
  2. Robust numerical methods to accurately infer critical epidemiological parameters from observed data.
  3. Advanced natural language processing techniques to characterize real-time public opinion and estimate compliance with health policies across time and space.
  4. Simulation of the integrated MFG system under different policy scenarios to predict future epidemic outcomes and support public health decision-making.

The project involves collaboration between the University of North Carolina at Charlotte and the Centers for Disease Control and Prevention, and seeks to train the next generation of multidisciplinary modeling and public health teams.

Generated 6/17/25, 4:09 AM