51 | Modeling the Spread of COVID-19 on College Campuses

On this episode of On the Evidence, guests Ravi Goyal and Natasha Martin share lessons from using an agent-based model to predict the spread of COVID-19 in a university setting. Goyal is a senior statistician at Mathematica who has an expertise in epidemic modeling. Martin is an infectious disease economic modeler and an associate professor in the Division of Infectious Diseases and Global Public Health at the University of California San Diego. They recently collaborated on a project that estimated the potential impact of masking, social distancing, and regular testing on the spread of COVID-19 at UC San Diego. Learn more about the COVID-19 agent-based modeling partnership between UC San Diego and Mathematica here: https://bit.ly/3sLL4bp Explore the web tool Goyal and Martin discuss on the podcast here: https://bit.ly/39UMXtz Learn more about Mathematica's partnership with the Pennsylvania Department of Education, which used agent-based modeling to inform K-12 school leaders about the relative risks of different operating and closure strategies here: https://bit.ly/3pct8EF Learn more about Mathematica's work on using wastewater testing to detect early trends in COVID-19 infections here: https://bit.ly/3iM5zAa For an up-to-date overview on Mathematica's involvement in the COVID-19 response, visit our landing page on COVID-19: https://bit.ly/3pmp8By