On stability analysis study and strategies for optimal control of a mathematical model of hepatitis HCV with the latent state

El Youssoufi El Youssoufi, A. Kouidere, D. Kada, O. Balatif, A. Daouia, M. Rachik
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引用次数: 1

Abstract

In this work, we analyze a viral hepatitis C model. This epidemic remains a major problem for global public health, in all communities, despite the efforts made. The model is analyzed using the stability theory of systems of nonlinear differential equations. Based on the results of the analysis, the proposed model has two equilibrium points: a disease-free equilibrium point E0 and an endemic equilibrium point E∗. We investigate the existence of equilibrium point of the model. Furthermore, based on the indirect Lyapunov method, we study the local stability of each equilibrium point of the model. Moreover, by constructing the appropriate Lyapunov function and by using LaSalle invariance principle, we get some information on the global stability of equilibrium points under certain conditions. The basic reproduction number R0 is calculated using the Next Generation method. The positivity of the solutions and their bornitude have been proven, the existence of the solutions has also been proven. Optimal control of the system was studied by proposing three types of intervention: awareness program, early detection, isolation and treatment. The maximum principle of Pontryagin was used to characterize the optimal controls found. Numerical simulations were carried out with a finite numerical difference diagram and using MATLAB to confirm acquired results.
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具有潜伏状态的HCV数学模型的稳定性分析、研究及最优控制策略
在这项工作中,我们分析了一种病毒性丙型肝炎模型。尽管作出了努力,但这一流行病仍然是所有社区全球公共卫生的一个主要问题。利用非线性微分方程系统的稳定性理论对模型进行了分析。根据分析结果,提出的模型有两个平衡点:无病平衡点E0和地方病平衡点E *。研究了模型平衡点的存在性。在此基础上,利用间接Lyapunov方法研究了模型各平衡点的局部稳定性。此外,通过构造适当的Lyapunov函数,利用LaSalle不变性原理,得到了平衡点在一定条件下的全局稳定性信息。基本复制数R0是使用下一代方法计算的。证明了解的正性及其范围,并证明了解的存在性。通过提出预警、早期发现、隔离和治疗三种干预措施,对系统的最优控制进行了研究。利用庞特里亚金极大值原理对得到的最优控制进行表征。利用有限数值差分图进行了数值模拟,并利用MATLAB对所得结果进行了验证。
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来源期刊
Mathematical Modeling and Computing
Mathematical Modeling and Computing Computer Science-Computational Theory and Mathematics
CiteScore
1.60
自引率
0.00%
发文量
54
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