Abstract
Herein, a virus dynamics model with cytotoxic T lymphocyte (CTL) and antibody immune responses is formulated and analyzed. The model considers two sorts of infected cells, latently infected cells and actively infected cells which produce the virus. We incorporate both virus-to-cell and cell-to-cell transmissions into the model. To assure the biological feasibility of the proposed model, we prove the nonnegativity and boundedness of the solutions of the model. We derive five threshold parameters which fully determine the existence and stability of the steady states of the model. We analyze the global stability of the steady states of the model by constructing suitable Lyapunov functions. Numerical simulations are performed to confirm the results of our obtained theoretical findings.
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References
Perelson AS, Nelson PW (1999) Mathematical analysis of HIV-I: dynamics in vivo. SIAM Rev 41:3–44
Alade TO (2021) On the generalized Chikungunya virus dynamics model with distributed time delays. Int J Dyn Control 9(3):1250–1260
Elaiw AM, Ghaleb SA, Hobiny A (2018) Effect of time delay and antibodies on HCV dynamics with cure rate and two routes of infection. J Appl Math Phys 6(05):1120
Peter OJ, Kumar S, Kumari N, Oguntolu FA, Oshinubi K (2022) Musa R (2021) Transmission dynamics of Monkeypox virus a mathematical modelling approach. Model Earth Syst Environ. 2022;8(3):3423–3434. https://doi.org/10.1007/s40808-021-01313-2
Peter, O.J., Oguntolu, F.A., Ojo, M.M., Oyeniyi, A.O., Jan, R. and Khan, I., 2022. Fractional order mathematical model of monkeypox transmission dynamics. Phy Scr 97(8), p.084005
Elaiw AM, Alade TO, Alsulami SM (2019) Stability of a within-host Chikungunya virus dynamics model with latency. J Comput Anal Appl 26(5):777–790
Elaiw AM, Alade TO, Alsulami SM (2019) Analysis of latent CHIKV dynamics model with time delays. J Comput Anal Appl 27(1):19–36
Huang D, Zhang X, Guo Y, Wang H (2016) Analysis of an HIV infection model with treatments and delayed immune response. Appl Math Model 40(4):3081–3089
Wang K, Fan A, Torres A (2010) Global properties of an improved hepatitis B virus model. Nonlinear Anal Real World Appl 11:3131–3138
Neumann AU, Lam NP, Dahari H, Gretch DR, Wiley TE, Layden TJ, Perelson AS (1998) Hepatitis C viral dynamics in vivo and the antiviral efficacy of interferon-alpha therapy. Science 282:103–107
Elaiw AM, Alade TO, Alsulami SM (2019) Global dynamics of delayed CHIKV infection model with multitarget cells. J Appl Math Comput 60(1):303–325
Abidemi A, Abd Aziz MI, Ahmad R (2020) Mathematical modelling of coexistence of two dengue virus serotypes with seasonality effect. J Comput Theor Nanosci 17(2–3):783–794
Abidemi A, Abd Aziz MI, Ahmad R (2020) Vaccination and vector control effect on dengue virus transmission dynamics: Modelling and simulation. Chaos, Solitons & Fractals 133:109648
Wang Y, Liu X (2017) Stability and Hopf bifurcation of a within-host chikungunya virus infection model with two delays. Math Comput Simul 138:31–48
Ojo MM, Peter OJ, Goufo EFD, Panigoro HS, Oguntolu FA (2022) Mathematical model for control of tuberculosis epidemiology. J. Appl. Math. Comput. (2022). https://doi.org/10.1007/s12190-022-01734-x
Oguntolu FA, Bolarin G, Peter OJ, Enagi AI, Oshinubi K (2021) Mathematical model for the control of lymphatic filariasis transmission dynamics. Commun. Math. Biol. Neurosci., 2021 (2021), Article ID 17
Paul WE (2013) Fundamental immunology, 7th edn. Lippincott Williams & Wilkins Publishers, New York
Libbey JE, Fujinami RS (2014) Adaptive immune response to viral infections in the central nervous system. Handb Clin Neurol 123:225–247. https://doi.org/10.1016/B978-0-444-53488-0.00010-9
Li MY, Shu H (2012) Global dynamics of a mathematical model for HTLV-I infection of CD4+ T cells with delayed CTL response. Nonlinear Anal Real World Appl 13:1080–1092
Wang X, Elaiw AM, Song X (2012) Global properties of a delayed HIV infection model with CTL immune response. Appl Math Comput 218(18):9405–9414
Li X, Fu S (2015) Global stability of a virus dynamics model with intracellular delay and CTL immune response. Math Methods Appl Sci 38:420–430
Ali N, Zaman G, Algahtani O (2016) Stability analysis of HIV-1 model with multiple delays. Adv Differ Equ 88:2016. https://doi.org/10.1186/s13662-016-0808-4
Tarfulea NE (2017) A mathematical model for CTL effect on a latently infected cell inclusive HIV dynamics and treatment. AIP Confer Proc 1895(1):070005. https://doi.org/10.1063/1.5007394
Pang J, An Cui J, Hui J (2012) The importance of immune responses in a model of hepatitis B virus. Nonlinear Dyn 67(1):723–734
Pang J, An Cui J (2017) Analysis of a hepatitis B viral infection model with immune response delay. Int J Biomath 10(2):1750020
Zhao Y, Xu Z (2014) Global dynamics for a delayed hepatitis C virus infection model. Electron J Differ Equ 2014(132):1–18
Murase A, Sasaki T, Kajiwara T (2005) Stability analysis of pathogen-immune interaction dynamics. J Math Biol 51:247–267
Wang S, Zou D (2012) Global stability of in host viral models with humoral immunity and intracellular delays. Appl Math Model 36:1313–1322
Alshorman A, Wang X, Meyer J, Rong L (2017) Analysis of HIV models with two time delays. J Biol Dyn 11(S1):40–64
Alade TO, Elaiw AM, Alsulami SM (2021) Stability dynamics of a delayed generalized Chikungunya virus infection model. J Appl Math Comput 65(1):575–595
Elaiw AM, Ghaleb SA (2019) Global Stability of virus dynamics model with immune response, cellular infection and holling type-II. J Korean Soc Ind Appl Math 23(1):39–63
Wang T, Hu Z, Liao F, Ma W (2013) Global stability analysis for delayed virus infection model with general incidence rate and humoral immunity. Math Comput Simul 89:13–22
Elaiw AM, Alade TO, Alsulami SM (2018) Analysis of within-host CHIKV dynamics models with general incidence rate. Int J Biomath 11(05):1850062
Elaiw AM, Alade TO, Alsulami SM (2018) Analysis of latent CHIKV dynamics models with general incidence rate and time delays. J Biol Dyn 12(1):700–730
Li L, Xu R (2016) Global dynamics of an age-structured in-host viral infection model with humoral immunity. Adv Differ Equ. https://doi.org/10.1186/s13662-015-0733-y
Xu J, Zhou Y, Li Y, Yang Y (2016) Global dynamics of a intracellular infection model with delays and humoral immunity. Math Methods Appl Sci 39(18):5427–5435
Miao H, Teng Z, Kang C, Muhammadhaji A (2016) Stability analysis of a virus infection model with humoral immunity response and two time delays. Math Methods Appl Sci 39(12):3434–3449
Wodarz D (2003) Hepatitis C virus dynamics and pathology: the role of CTL and antibody responses. J Gen Virol 84:1743–1750
Lin J, Xu R, Tian X (2017) Threshold dynamics of an HIV-1 virus model with both virus-to-cell and cell-to-cell transmissions, intracellular delay, and humoral immunity. Appl Math Comput 315:516–530
Yang Y, Zou L, Ruan S (2015) Global dynamics of a delayed within-host viral infection model with both virus-to-cell and cell-to-cell transmissions. Math Biosci 270:183–191
Pan S, Chakrabarty SP (2018) Threshold dynamics of HCV model with cell-to-cell transmission and a non-cytolytic cure in the presence of humoral immunity. Commun Nonlinear Sci Numer Simul 61:180–197
Wang J, Lang J, Zou X (2017) Analysis of an age structured HIV infection model with virus-to-cell infection and cell-to-cell transmission. Nonlinear Anal-Real World Appl 34:75–96
Elaiw AM (2015) Global stability analysis of humoral immunity virus dynamics model including latently infected cells. J Biol Dyn 9(1):215–228
Hattaf K, Hemen D (2020) Modeling the dynamics of viral infections in presence of latently infected cells. Chaos, Solitons Fractals 136:109916
Elaiw AM, Alade TO, Alsulami SM (2018) Global stability of within-host virus dynamics models with multitarget cells. Mathematics 6(7):118
Alade TO, Abidemi A, Tunc C, Ghaleb SA (2021) Global stability of generalized within-host Chikungunya virus dynamics models. Appl Appl Math: Int J (AAM) 16(1):8
Alade TO, Ghaleb SA, Alsulami SM (2021) Global stability of a class of virus dynamics models with general incidence rate and multitarget cells. Eur Phys J Plus 136(8):1–20
LaSalle JP (1976) The stability of dynamical systems. In: Regional conference series in applied mathematics. SIAM, Philadelphia
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We would like to thank the editor and anonymous referees for their very helpful comments and suggestions that greatly improved the quality of this paper.
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Shafeek A. Ghaleb, A. M. Elaiw, Taofeek O. Alade conceptualized the study; Shafeek A. Ghaleb, A. M. Elaiw, Mohammad Alnegga, Taofeek O. Alade helped in methodology and formal analysis and investigation; Shafeek A. Ghaleb, Mohammad Alnegga, Emad Ghandourah, Taofeek O. Alade performed writing—review and editing; A. M. Elaiw, Emad Ghandourah and Taofeek O. Alade supervised the study.
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Ghaleb, S.A., Elaiw, A.M., Alnegga, M. et al. Global stability of virus dynamics of an adaptive immune response with two routes of infection and latency. Int. J. Dynam. Control 11, 1002–1019 (2023). https://doi.org/10.1007/s40435-022-01034-z
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DOI: https://doi.org/10.1007/s40435-022-01034-z