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Dynamics of virus infection models with density‐dependent diffusion and Beddington–DeAngelis functional response
Author(s) -
Wang Shaoli,
Zhang Jiafang,
Xu Fei,
Song Xinyu
Publication year - 2017
Publication title -
mathematical methods in the applied sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 65
eISSN - 1099-1476
pISSN - 0170-4214
DOI - 10.1002/mma.4411
Subject(s) - functional response , mathematics , dynamics (music) , basic reproduction number , viral infection , virus , strain (injury) , diffusion , lyapunov function , diffusion process , virology , biology , computer science , medicine , physics , population , predation , knowledge management , innovation diffusion , environmental health , acoustics , predator , quantum mechanics , thermodynamics , nonlinear system , anatomy , paleontology
In this work, we integrate both density‐dependent diffusion process and Beddington–DeAngelis functional response into virus infection models to consider their combined effects on viral infection and its control. We perform global analysis by constructing Lyapunov functions and prove that the system is well posed. We investigated the viral dynamics for scenarios of single‐strain and multi‐strain viruses and find that, for the multi‐strain model, if the basic reproduction number for all viral strains is greater than 1, then each strain persists in the host. Our investigation indicates that treating a patient using only a single type of therapy may cause competitive exclusion, which is disadvantageous to the patient's health. For patients infected with several viral strains, the combination of several therapies is a better choice. Copyright © 2017 John Wiley & Sons, Ltd.