具有 CTL 免疫反应、分布式延迟和饱和发病率的细胞因子增强病毒感染模型

Xiaodong Cao, Songbo Hou, Xiaoqing Kong
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引用次数: 0

摘要

在本文中,我们提出了一个包含饱和发病率和免疫反应的延迟细胞因子增强病毒感染模型。我们计算了基本的繁殖数,并引入凸锥来讨论非负初始数据对解的影响。通过定义适当的 Lyapunov 函数并利用拉萨尔不变性原理,我们研究了三种均衡的稳定性:无病均衡、免疫失活均衡和免疫激活均衡。我们建立了这些均衡全局渐近稳定的条件。数值分析不仅证实了理论结果,而且揭示了可以通过延长延迟期来干预病毒感染。
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A cytokine-enhanced viral infection model with CTL immune response, distributed delay and saturation incidence
In this paper, we propose a delayed cytokine-enhanced viral infection model incorporating saturation incidence and immune response. We compute the basic reproduction numbers and introduce a convex cone to discuss the impact of non-negative initial data on solutions. By defining appropriate Lyapunov functionals and employing LaSalle's invariance principle, we investigate the stability of three equilibria: the disease-free equilibrium, the immunity-inactivated equilibrium, and the immunity-activated equilibrium. We establish conditions under which these equilibria are globally asymptotically stable. Numerical analyses not only corroborate the theoretical results but also reveal that intervention in virus infection can be achieved by extending the delay period.
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