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Global dynamics of a delayed diffusive virus infection model with cell-mediated immunity and cell-to-cell transmission
Mathematical Biosciences and Engineering ( IF 2.6 ) Pub Date : 2020-07-08 , DOI: 10.3934/mbe.2020257
Chun Yang Qin 1 , Yu Ming Chen 2 , Xia Wang 1, 3
Affiliation  

In this paper, we propose and analyze a delayed diffusive viral dynamic model incorporating cell-mediated immunity and both cell-free and cell-to-cell transmission. After discussing the well-posedness, we provide some preliminary results on solutions. Then we study the existence and uniqueness of homogeneous steady states, which turned out to be completely determined by the basic reproduction number of infection R0 and the basic reproduction number of immunity R1. Note that when R1 is defined, it is necessary that R0 > 1. The main result is a threefold dynamics. Roughly speaking, when R0 < 1 the infection-free steady state is globally asymptotically stable; when R1 ≤ 1 < R0 the immunity-free infected steady state is globally asymptotically stable; when R1 > 1 the infected-immune steady state is globally asymptotically stable. The approaches are linearization technique and the Lyapunov functional method. The theoretical results are also illustrated with numerical simulations.

中文翻译:

具有细胞介导的免疫和细胞间传播的延迟扩散病毒感染模型的全局动力学

在本文中,我们提出并分析了包含细胞介导的免疫力以及无细胞和细胞间传播的延迟扩散病毒动力学模型。在讨论完好性之后,我们提供了一些初步的解决方案结果。然后,我们研究了均质稳态的存在和唯一性,结果完全取决于感染的基本繁殖数R 0和免疫力R 1的基本繁殖数。注意,当定义R 1时,R 0 > 1是必要的。主要结果是三重动力学。大致来说,当R 0时<1,无感染稳态是全局渐近稳定的;当[R 1 ≤1 < - [R 0无免疫感染稳态是全局渐近稳定; 当R 1 > 1时,被感染的免疫稳态是全局渐近稳定的。这些方法是线性化技术和Lyapunov函数方法。理论结果也用数值模拟说明。
更新日期:2020-07-20
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