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. https://www.sciencedirect.com/science/article/pii/S2468042720300099

(with Z. Liu, P. Magal, and O. Seydi) Understanding unreported cases in the 2019-nCov epidemic outbreak in Wuhan, China, and the importance of major public health interventions, Biology Vol. 9(3), (2020). (pre-print) https://www.preprints.org/manuscript/202002.0079/v1

(with Z. Liu, P. Magal, and O. Seydi), Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data, Math. Biosci. Eng. 17(4) 2020, 3040-3051. https://www.medrxiv.org/content/10.1101/2020.03.11.20034314v1

(with Z. Liu, P. Magal, and O. Seydi), A model to predict COVID-19 epidemics with applications to South Korea, Italy, and Spain, SIAM News, May 2020 issue. https://www.medrxiv.org/content/10.1101/2020.04.07.20056945v1