Dynamics and control strategy for a delayed viral infection model.

IF 2.7 4区 数学 Q3 ECOLOGY
Suxia Zhang, Fei Li, Xiaxia Xu
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引用次数: 2

Abstract

In this paper, we derive a delayed epidemic model to describe the characterization of cytotoxic T lymphocyte (CTL)-mediated immune response against virus infection. The stability of equilibria and the existence of Hopf bifurcation are analysed. Theoretical results reveal that if the basic reproductive number is greater than 1, the positive equilibrium may lose its stability and the bifurcated periodic solution occurs when time delay is taken as the bifurcation parameter. Furthermore, we investigate an optimal control problem according to the delayed model based on the available therapy for hepatitis B infection. With the aim of minimizing the infected cells and viral load with consideration for the treatment costs, the optimal solution is discussed analytically. For the case when periodic solution occurs, numerical simulations are performed to suggest the optimal therapeutic strategy and compare the model-predicted consequences.

延迟病毒感染模型的动力学与控制策略。
在本文中,我们推导了一个延迟流行模型来描述细胞毒性T淋巴细胞(CTL)介导的对病毒感染的免疫反应的特征。分析了平衡点的稳定性和Hopf分岔的存在性。理论结果表明,以时滞为分岔参数时,当基本再生数大于1时,正平衡可能失去稳定性,出现分岔周期解。在此基础上,研究了基于延迟模型的最优控制问题。以最小感染细胞和病毒载量为目标,考虑治疗费用,对最优解进行了分析讨论。对于周期性溶液发生的情况,进行数值模拟以建议最佳治疗策略并比较模型预测的后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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