Using mathematical models to inform Princeton’s COVID-19 testing guidelines, Sang Woo Park, GS (2278385)

The COVID-19 pandemic has had a significant impact on our campus over the last few years. To mitigate the number of infections, many COVID-19 policies were introduced on campus, including vaccination and asymptomatic testing. Through asymptomatic testing, all students, faculty members, and staff members had to get tested once or twice a week during the first two years of the pandemic. My research focused on using mathematical models to determine the optimal testing guideline on campus to prevent transmission. By incorporating information about the transmission settings on campus and in surrounding communities, the model was updated every semester to provide up-to-date predictions for each semester. Modeling results were then used to inform COVID-19 policies on campus, including asymptomatic testing and isolation guidelines.

Sang Woo Park, GS: https://scholar.google.com/citations?user=ZSCrs78AAAAJ&hl=en&oi=ao