In response to the COVID-19 pandemic, many higher educational institutions moved their courses from face-to-face instruction to online or hybrid instruction, in hopes of slowing disease spread. The advent of multiple highly-effective vaccines offers the promise of a return to ``normal'' in-person operations, but it is not clear if -- or for how long -- campuses should employ non-pharmaceutical interventions such as requiring masks and capping the size of in-person courses. In this talk, I will introduce the mathematical model we developed to model COVID-19 transmission on UC Merced campus and present the global sensitivity analysis we conducted to evaluate how pharmaceutical and non-pharmaceutical interventions impact disease spread.
Sensitivity Analysis of COVID-19 Dynamics on Structured College Campuses
Lihong Zhao, University of California, Merced
Authors: Lihong Zhao, Fabian Santiago, Erica M. Rutter, Shilpa Khatri, Suzanne Sindi
2022 AWM Research Symposium
Recent Developments in Ecological and Epidemiological Modeling