具有抗体和一般非线性发病率的延迟分布病毒感染模型的全局分析

IF 0.3 Q4 MATHEMATICS, APPLIED
A. Elaiw, N. AlShamrani
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引用次数: 19

摘要

在这项工作中,我们研究了具有抗体免疫反应的病毒感染模型的全局稳定性分析。发病率由未感染靶细胞、感染细胞和游离病毒种群的一般函数给出。该模型结合了两种类型的细胞内分布时滞来描述病毒接触未感染细胞并释放新的感染性病毒所需的时间。我们在一般发病率函数上建立了一组条件,并确定了两个阈值参数r0(基本感染繁殖数)和r1(抗体免疫反应激活数),这两个阈值参数足以确定模型的全局动态。利用Lyapunov理论和LaSalle不变性原理证明了模型平衡点的全局渐近稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GLOBAL ANALYSIS FOR A DELAY - DISTRIBUTED VIRAL INFECTION MODEL WITH ANTIBODIES AND GENERAL NONLINEAR INCIDENCE RATE
In this work, we investigate the global stability analysis of a viral infection model with antibody immune response. The incidence rate is given by a general function of the populations of the uninfected target cells, infected cells and free viruses. The model has been incorporated with two types of intracellular distributed time delays to describe the time required for viral contacting an uninfected cell and releasing new infectious viruses. We have established a set of conditions on the general incidence rate function and determined two threshold parameters R 0 (the basic infection reproduction number) and R 1 (the antibody immune response activation number) which are sufficient to determine the global dynamics of the model. The global asymptotic stability of the equilibria of the model has been proven by using Lyapunov theory and applying LaSalle’s invariance principle.
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