Award
National Institute of General Medical Sciences 5R35GM153478-03
Integrating opportunistic data into respiratory disease models to enhance surveillance, explain seasonality, and reveal spatial transmission landscapes
Recipient
Georgetown University, Washington, DC, United States
Award Amount
$426,660.00
Ceiling
$426,660.00
Awarded
May 25, 2026
Identifier
5R35GM153478-03
A research grant awarded to Georgetown University to develop advanced respiratory disease models integrating socio-behavioral data to enhance surveillance and public health response for COVID-19 and other respiratory viruses in the US.
Description
This project leverages mathematical modeling and large datasets to improve management of COVID-19 and preparedness for future pathogens by producing timely infection estimates, quantifying behavioral intervention effectiveness, predicting seasonality, and addressing public health heterogeneities. It focuses on socio-behavioral disease modeling to understand respiratory disease dynamics, particularly SARS-CoV-2 and influenza in the US, aiming to inform public health policy and improve disease surveillance and management.