Global Stability for a Diffusive Infection Model with Nonlinear Incidence

Xiaolan Liu, Cheng-Cheng Zhu (), Hari Mohan Srivastava and Hongyan Xu
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Xiaolan Liu: School of Arts and Science, Suqian University, Suqian 223800, China
Cheng-Cheng Zhu: School of Science, Jiangnan University, Wuxi 214122, China
Hari Mohan Srivastava: Department of Mathematics and Statistics, University of Victoria, Victoria, BC V8W 3R4, Canada
Hongyan Xu: College of Arts and Sciences, Suqian University, Suqian 223800, China

Mathematics, 2022, vol. 10, issue 22, 1-26

Abstract: The first purpose of this article was to establish and analyze system 4 with an abstract function incidence rate under homogeneous Neumann boundary conditions. The system models the dynamics of interactions between pathogens and the host immune system, which has important applications in HIV-1, HCV, flu etc. By the Lyapunov–LaSalle method, we obtained the globally asymptotic stability of the equilibria. Specifically speaking, by introducing the reproductive numbers R 0 and R 1 , we showed that if R 0 ≤ 1 , then the infection-free equilibrium E 0 is globally asymptotically stable, i.e., the virus is unable to sustain the infection and will become extinct; if R 1 ≤ 1 < R 0 , then the C T L -inactivated infection equilibrium E 1 is globally asymptotically stable, i.e., the infection becomes chronic but without persistent CTL response; if R 1 > 1 , the C T L -activated equilibrium E 2 is globally asymptotically stable, and the infection is chronic with persistent CTL response. Additionally, we also investigate the discretization of the model by using a non-standard finite difference scheme, and our results confirm that the global stability of the equilibria of the continuous model and the discrete model is consistent. Finally, numerical simulations are performed to illustrate the theoretical results. Our model and results are to a certain extent generalizations of and improvements upon the previous results given by Zhu, Wang.

Keywords: basic reproduction number; global stability; non-standard finite difference scheme; numerical simulations (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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