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  • 标题:Dynamics and control strategy for a delayed viral infection model
  • 本地全文:下载
  • 作者:Suxia Zhang ; Fei Li ; Xiaxia Xu
  • 期刊名称:Journal of Biological Dynamics
  • 印刷版ISSN:1751-3758
  • 电子版ISSN:1751-3766
  • 出版年度:2022
  • 卷号:16
  • 期号:1
  • 页码:44-63
  • DOI:10.1080/17513758.2022.2028024
  • 语种:English
  • 出版社:Taylor & Francis
  • 摘要: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.
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