Abstract:

In this talk, we present some nonlinear systems to characterize the infection process of the severe acute respiratory syndrome coronavirus 2 in a heterogeneous environment. The well-posedness of the solution, the basic reproduction number, the global stability of uninfected steady state and the uniform persistence for the systems are discussed. Numerical simulations are performed to illustrate our theoretical results and reveal that diffusion, spatial heterogeneity and incidence types have evident impact on the SARS-CoV-2 infection.

Introduction: 

Zhaosheng Feng, Carlos and Stephanie Manrique de Lara Endowed Chair Professor at the School of Mathematical and Statistical Sciences of University of Texas-RGV, USA. He is the recipient of UTRGV Outstanding Award in Research/Scholarship/Creative Work in 2015 and 2021.  His research interests lie in nonlinear analysis, computational methods and simulations, dynamical systems and mathematical biology etc.

Tencent meeting: 422-500-767