Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2024, Vol. 41 ›› Issue (4): 693-709.doi: 10.3969/j.issn.1005-3085.2024.04.007

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Dynamics of Delayed HIV Model with Two Transmission Modes and Adaptive Immune Responses

MIAO Hui1,  TENG Zhidong2   

  1. 1. School of Applied Mathematics, Shanxi University of Finance and Economics, Taiyuan 030006
    2. College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011
  • Received:2022-02-03 Accepted:2023-07-13 Online:2024-08-15
  • Contact: Z. Teng. E-mail address: zhidong@xju.edu.cn
  • Supported by:
    The National Natural Science Foundation of China (11901363; 12371504); the Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi Province (2021L279); the Young Talent Program for Scholars at Shanxi University of Finance and Economics (BY-Z01087).

Abstract:

A multi time delay HIV infection model with adaptive immune responses is proposed, in which both the virus-to-cell infection and the cell-to-cell transmission are considered. The existence of five equilibria and five basic reproduction numbers are calculated. By using the Lyapunov functionals, the sufficient conditions on the global stability of five equilibria are established. Using a time delay $\tau_3$ as a bifurcation parameter, we show that $\tau_3$ may destabilize two equilibria $\widetilde{E}_2$ and $\widetilde{E}_4$ leading to Hopf bifurcation. The results indicate that $\tau_3$ can lead to periodic oscillations in viral load and immune responses, which can reduce the risk of infection. Finally, numerical simulations are carried out to illustrate the corresponding theoretical results, and reveal the effects of different delay parameters on the stability of the equilibria $\widetilde{E}_2$ and $\widetilde{E}_4$.

Key words: HIV infection model, adaptive immune response, cell-to-cell, Lyapunov functionals, global stability

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