论文标题

分析丙型肝炎病毒感染细胞外和细胞内模型的初始值问题

Analysis of an initial value problem for an extracellular and intracellular model of hepatitis C virus infection

论文作者

Nangue, Alexis, Rendall, Alan D., Tcheugam, Brice Kammegne, Simo, Patrick Steve Kamdem

论文摘要

在本文中,对体内病毒感染模型的全局动力学进行了数学分析。我们研究了在治疗下考虑细胞外感染和细胞内感染水平的丙型肝炎病毒(HCV)模型的动力学。目前,治疗后病毒动力学的大多数数学模型仅涉及病毒感染的过程以及细胞通过细胞释放病毒体的释放,而细胞内部发生的过程不包括在细胞内。我们证明,具有正初始值的新模型的解决方案是正面的,在全球范围内存在并且是有限的。该模型具有两个无病毒的稳态。它们的区别是,在第一个状态下细胞内不存在病毒RNA,并在第二个状态中存在于细胞内。这些稳态中的每一个都有基本的繁殖数。如果第一稳态的基本繁殖数小于一个,则该状态在渐近稳定。如果第一稳态的基本繁殖数大于一个,而第二个稳态的繁殖数小于一个稳态,则第二个稳态在渐近稳定。如果两个基本的繁殖数都大于一个数字,那么我们获得了各种结论,这些结论取决于对模型参数的不同限制。在越来越强烈的假设下,我们证明至少有一个正稳态(感染平衡),即存在独特的正稳态,正稳态稳定。我们还提供了一个条件,每个阳性解决方案都会收敛到正稳态。 Li和Muldowney的方法证明了这一点。最后,我们通过数值模拟说明了理论结果。

In this paper, a mathematical analysis of the global dynamics of a viral infection model in vivo is carried out. We study the dynamics of a hepatitis C virus (HCV) model, under therapy, that considers both extracellular and intracellular levels of infection. At present most mathematical modeling of viral kinetics after treatment only addresses the process of infection of a cell by the virus and the release of virions by the cell, while the processes taking place inside the cell are not included. We prove that the solutions of the new model with positive initial values are positive, exist globally in time and are bounded. The model has two virus-free steady states. They are distinguished by the fact that viral RNA is absent inside the cells in the first state and present inside the cells in the second. There are basic reproduction numbers associated to each of these steady states. If the basic reproduction number of the first steady state is less than one then that state is asymptotically stable. If the basic reproduction number of the first steady state is greater than one and that of the second less than one then the second steady state is asymptotically stable. If both basic reproduction numbers are greater than one then we obtain various conclusions which depend on different restrictions on the parameters of the model. Under increasingly strong assumptions we prove that there is at least one positive steady state (infected equilibrium), that there is a unique positive steady state and that the positive steady state is stable. We also give a condition under which every positive solution converges to a positive steady state. This is proved by methods of Li and Muldowney. Finally, we illustrate the theoretical results by numerical simulations.

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