Project Grant 2436120

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $1.3M
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Burlington, VT 05405, USA
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This federal Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049) provides $1,344,200 to the University of Vermont to develop mathematical epidemiological models that better represent the complexities of human behavior and social processes in disease dynamics. The project will focus on understanding respiratory diseases like COVID-19 and the flu, aiming to improve the ability to predict and respond to infectious disease outbreaks. Key components include:

  • Constructing dynamic models that represent how human cognition, social norms, and policy decisions influence the adoption of protective behaviors (e.g., vaccination, distancing) and thereby impact disease spread.
  • Analyzing the sensitivity and uncertainty in epidemic forecasts that arise from integrating these human social factors with traditional epidemiological models.
  • Disseminating the modeling approaches and results through a public health workshop and educational outreach.

The University of Vermont is collaborating with sub-awardees at the University of Tennessee and Rhode Island College to leverage expertise in mathematical modeling, epidemiology, social sciences, and education/outreach. This interdisciplinary project is co-funded by the NSF and the CDC, reflecting its potential to advance disease modeling capabilities and support more effective public health policy interventions.

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