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Several spatial epidemic models in a heterogeneous environment with applications to COVID-19

Several spatial epidemic models in a heterogeneous environment with applications to COVID-19

Speaker: Dr. Yuan Lou, Department of Mathematics, Ohio State University

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.

Abstract: 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.

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