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Impact of B-cell impairment on virus dynamics with time delay and two modes of transmission

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  • Elaiw, Ahmed M.
  • Alshehaiween, Safiya F.
  • Hobiny, Aatef D.

Abstract

This paper formulates and analyzes a virus dynamics model with impairment of B-cell functions. The model includes two modes of viral transmission, cell-free and cell-to-cell. The cell-free and cell-cell incidence rates are modeled by general nonlinear functions. We integrate both latently and actively infected cells as well as three time delays into the model. Nonnegativity and boundedness properties of the solutions are proven to show the well-posedness of the model. The model admits two equilibria which are determined by the basic reproduction number R0G. The global stability of each equilibrium is proven by utilizing Lyapunov function and applying LaSalle’s invariance principle. The theoretical results are illustrated by numerical simulations. The effect of impairment of B-cell functions on the virus dynamics is studied. We have shown that if the functions of B-cell are impaired, then the concentration of viruses is increased in the plasma.

Suggested Citation

  • Elaiw, Ahmed M. & Alshehaiween, Safiya F. & Hobiny, Aatef D., 2020. "Impact of B-cell impairment on virus dynamics with time delay and two modes of transmission," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    • Handle: RePEc:eee:chsofr:v:130:y:2020:i:c:s0960077919304011
    DOI: 10.1016/j.chaos.2019.109455
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    References listed on IDEAS

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    1. Wang, Tianlei & Hu, Zhixing & Liao, Fucheng & Ma, Wanbiao, 2013. "Global stability analysis for delayed virus infection model with general incidence rate and humoral immunity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 89(C), pages 13-22.
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    3. Miao, Hui & Abdurahman, Xamxinur & Teng, Zhidong & Zhang, Long, 2018. "Dynamical analysis of a delayed reaction-diffusion virus infection model with logistic growth and humoral immune impairment," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 280-291.
    4. Elaiw, A.M. & Almuallem, N.A., 2015. "Global properties of delayed-HIV dynamics models with differential drug efficacy in cocirculating target cells," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 1067-1089.
    5. Wang, Jinliang & Guo, Min & Liu, Xianning & Zhao, Zhitao, 2016. "Threshold dynamics of HIV-1 virus model with cell-to-cell transmission, cell-mediated immune responses and distributed delay," Applied Mathematics and Computation, Elsevier, vol. 291(C), pages 149-161.
    6. A. M. Elaiw & A. A. Almatrafi & A. D. Hobiny & K. Hattaf, 2019. "Global Properties of a General Latent Pathogen Dynamics Model with Delayed Pathogenic and Cellular Infections," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-18, July.
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