Webinar: https://yorku.zoom.us/j/98615589444?pwd=S1JYcVA0R291blBoZzBnRkhDdW56dz09

Also, see the announcement at http://cdm.yorku.ca/content/mathematics-and-covid-19 .

In the first part of the talk, I will discuss several SIS and SEIR reaction-diffusion models in spatially and/or temporally varying environments, with predictions on the basic reproduction number and the control of infected populations. The second part will be devoted to the discussions of a multi-stage and multi-scale SEIR meta-population model, with application to the COVID-19 pandemic outbreak.

Dr. Yuan Lou received his Ph.D. from the UMinnesota in 1995, trained in the area of partial differential equations. He did his postdoctoral work at MSRI (1995-96) and UChicago (1996-98), before joining the Department of Mathematics at Ohio State University as a faculty member in 1998. His research interest is the reaction-diffusion equation with applications to ecology, evolution, and epidemiology. Dr. Lou served as an Associate Director of the Mathematical Biosciences Institute from 2009-13.