Epidemic modeling of Covid19 in University campuses
University campuses are struggling with deciding whether and how to reopen in the fall given the COVID-19 pandemic. This talk will discuss how epidemic modeling has been applied to understanding testing and campus risk mitigation policies which could enable universities to detect outbreaks early and reduce the risk of transmission on densely connected campus networks.
Mathematical Models, Data and Pandemic Response
Mathematical Modeling has again emerged as one of the important tools in understanding the spread, policy formation, and identification of novel coronavirus or COVID-19. Virus spread depends not only on the reported number of cases but also on the number of individuals who were never been tested but carry the virus. An overview of modeling to investigate the spread,under-reporting, and under-diagnosis of COVID-19 and Policy will be discussed. This talk is based on collaborative works with Steven G. Krantz.