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Global stability analysis of viral infection model with logistic growth rate, general incidence function and cellular immunity

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  • Gharahasanlou, Tohid Kasbi
  • Roomi, Vahid
  • Hemmatzadeh, Zeynab

Abstract

It is well known that the mathematical biology and dynamical systems give very important information for the study and research of viral infection models such as HIV, HBV, HCV, Ebola and Influenza. This paper deals with the global dynamics of generalized virus model with logistic growth rate for target cells, general incidence rate and cellular immunity. The results will be obtained by using Lyapunov’s second method and LaSalle’s invariance principle. We prove the global stability of the rest points of the system by the value of basic reproduction number (R0) and the immune response reproduction number (RCTL). We have found that if R0<1, then the infection-free equilibrium is globally asymptotically stable. For R0>1 and RCTL<1, under certain conditions on incidence rate function, immune-free equilibrium is globally asymptotically stable. Finally, we prove that if R0>1 and RCTL>1, then under certain conditions on incidence rate function the endemic equilibrium is globally asymptotically stable. Since the logistic growth rate for target cells and general incidence rate have been included in this manuscript, our obtained results are the generalization of those in the previous literatures. Moreover, the results have been obtained with weaker assumptions in comparison with the previous ones. Numerical simulations are presented to support and illustrate our analytical results.

Suggested Citation

  • Gharahasanlou, Tohid Kasbi & Roomi, Vahid & Hemmatzadeh, Zeynab, 2022. "Global stability analysis of viral infection model with logistic growth rate, general incidence function and cellular immunity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 64-79.
    • Handle: RePEc:eee:matcom:v:194:y:2022:i:c:p:64-79
    DOI: 10.1016/j.matcom.2021.11.015
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    References listed on IDEAS

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    1. Amber M Smith & Frederick R Adler & Julie L McAuley & Ryan N Gutenkunst & Ruy M Ribeiro & Jonathan A McCullers & Alan S Perelson, 2011. "Effect of 1918 PB1-F2 Expression on Influenza A Virus Infection Kinetics," PLOS Computational Biology, Public Library of Science, vol. 7(2), pages 1-12, February.
    2. Khajanchi, Subhas & Bera, Sovan & Roy, Tapan Kumar, 2021. "Mathematical analysis of the global dynamics of a HTLV-I infection model, considering the role of cytotoxic T-lymphocytes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 180(C), pages 354-378.
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    Cited by:

    1. Alfifi, H.Y., 2023. "Effects of diffusion and delayed immune response on dynamic behavior in a viral model," Applied Mathematics and Computation, Elsevier, vol. 441(C).

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