A Model of COVID-19 Epidemics for Predicting the Impact of Vaccination

Speaker: Glenn Webb, Vanderbilt University Seminar: Abstract: a mathematical model is developed to provide predictions for COVID-19 epidemics. The model is based on reported case data. The model incorporates asymptomatic and symptomatic transmission. The model is used to predict the impact of vaccination in the United States and the United Kingdom. Glenn Webb is a professor of mathematics at Vanderbilt University. His research interests include mathematical biology and the use of differential equations to model population dynamics and tumour growth. Webb received his Ph.D. from Emory University. In 2012 he became a Fellow of the American Mathematical Society. Some recent publications: (with Z. Liu, P. Magal, O. Seydi) A COVID-19 epidemic model with latency period, Inf. Dis. Mod. (2020), 323-337. (with Z. Liu, P. Magal