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Global analysis of a fractional-order viral model with lytic and non-lytic adaptive immunity

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Abstract

In this paper, we suggest a new fractional virus model with two routes of infection. The first is the usual virus-to-cell infection and the other is the direct transmission of cell-to-cell. The proposed model integrates the effect of the fractional derivative and the influence of adaptive immunity in the studied viral dynamics. Adaptive immunity is represented by cellular and humoral immune responses. The lytic and non-lytic immunological mechanisms that prevent viral reproduction and reduce cells infection are also included in our model. Caputo fractional derivatives are incorporated into each compartment of the model. We begin by showing that our suggested model is well-posed in terms of solution existence, uniqueness, non-negativity and boundedness. We prove that there are five equilibria in our enhanced viral model: virus-clear steady point \({\mathcal {E}}_{\circ }\), immunity-free steady point \({\mathcal {E}}_{1}\), infection steady point with only cellular response \({\mathcal {E}}_{2}\), infection steady point with only humoral response \({\mathcal {E}}_{3}\) and infection steady point with adaptive immunity \({\mathcal {E}}_{4}\). By defining five kinds of reproduction numbers, we demonstrate the equilibria’s global stability by utilizing the Lyapunov method and LaSalle’s invariance principle. In addition, many numerical simulations are given to validate our theoretical results regarding the stability of steady points. The numerical outcomes also show that the long-term memory effect, represented by the fractional order derivative, does not affect the stability of the steady points. However, when the fractional order derivative is decreasing, solutions tend to reach equilibrium faster.

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References

  • Akdim K, Ez-zetouni A, Danane J, Allali K (2020) Stochastic viral infection model with lytic and nonlytic immune responses driven by lévy noise. Phys A Stat Mech Appl 549:124367

    Google Scholar 

  • Akdim K, Ez-Zetouni A, Zahid M (2021) The influence of awareness campaigns on the spread of an infectious disease: a qualitative analysis of a fractional epidemic model. Model Earth Syst Environ. https://doi.org/10.1007/s40808-021-01158-9

    Article  Google Scholar 

  • Alade TO, Alnegga M, Olaniyi S, Abidemi A (2023) Mathematical modelling of within-host chikungunya virus dynamics with adaptive immune response. Model Earth Syst Environ. https://doi.org/10.1007/s40808-023-01737-y

    Article  Google Scholar 

  • Ali A, Ullah S, Khan M (2022) The impact of vaccination on the modeling of COVID-19 dynamics: a fractional order model. Nonlinear Dyn. https://doi.org/10.1007/s11071-022-07798-5

    Article  Google Scholar 

  • Alshamrani N (2021) Stability of a general adaptive immunity hiv infection model with silent infected cell-to-cell spread. Chaos Solitons Fractals 150:110422

    Google Scholar 

  • Baleanu D, Diethelm K, Scalas E, Trujillo JJ (2012) Fractional calculus: models and numerical methods. World Scientific Publishing, Singapore

    Google Scholar 

  • Benson DA, Meerschaert MM, Revielle J (2013) Fractional calculus in hydrologic modeling, a numerical perspective. Adv Water Resour 51:479–497

    Google Scholar 

  • Chatterjee AN, Al Basir F, Almuqrin MA, Mondal J, Khan I (2021) Sars-cov-2 infection with lytic and non-lytic immune responses: a fractional order optimal control theoretical study. Results Phys 26:104260

    Google Scholar 

  • Chen C, Zhou Y (2023) Dynamic analysis of hiv model with a general incidence, ctls immune response and intracellular delays. Math Comput Simul 212:159–181

    Google Scholar 

  • Cong ND, Doan T, Siegmund S, Tuan H (2017) An instability theorem for nonlinear fractional differential systems. Discrete Contin Dyn Syst Ser B 22(8):3079–3090

    Google Scholar 

  • Dhar M, Samaddar S, Bhattacharya P (2019a) Modeling the effect of non-cytolytic immune response on viral infection dynamics in the presence of humoral immunity. Nonlinear Dyn 89:637–655

    Google Scholar 

  • Dhar M, Samaddar S, Bhattacharya P, Upadhyay R (2019b) Viral dynamic model with cellular immune response: a case study of hiv-1 infected humanized mice. Phys A 524(3):1–14

    CAS  Google Scholar 

  • Dhar M, Samaddar S, Bhattacharya P (2021) Modeling the cell-to-cell transmission dynamics of viral infection under the exposure of non-cytolytic cure. J Appl Math Comput 65:885–911

    Google Scholar 

  • Diethelm K (2010) The analysis of fractional differential equations: an application-oriented exposition using differential operators of caputo type. Lecture notes in mathematics. Springer, Berlin

    Google Scholar 

  • Elaiw A, AlShamrani N, Hobiny A (2020) Stability of an adaptive immunity delayed hiv infection model with active and silent cell-to-cell spread. Math Biosci Eng 17(6):6401–6458

    CAS  Google Scholar 

  • Faieghi MR, Delavari H (2012) Chaos in fractional-order genesio-tesi system and its synchronization. Commun Nonlinear Sci Numer Simul 17:731–741

    Google Scholar 

  • Ghaleb S, Elaiw A, Alnegga M, Ghandourah E, Alade T (2023) Global stability of virus dynamics of an adaptive immune response with two routes of infection and latency. Int J Dyn Control 11:1002–1019

    Google Scholar 

  • Ghani M, Utami IQ, Triyayuda FW, Afifah M (2023) A fractional seiqr model on diphtheria disease. Model Earth Syst Environ 9(2):2199–2219

    Google Scholar 

  • Gholami M, Ghaziani RZ, Eskandari Z (2022) Three-dimensional fractional system with the stability condition and chaos control. Math Model Numer Simul Appl 2(1):41–47

    Google Scholar 

  • Guo W, Ye M, Zhang QM (2021) Stability in distribution for age-structured hiv model with delay and driven by ornstein-uhlenbeck process. Stud Appl Math 147:792–815

    Google Scholar 

  • Habbireeh R (2022) Fractional order modelling of omicron sars-cov-2 variant containing heart attack effect using real data from the united kingdom. Chaos Solitons Fractals 157:111954

    Google Scholar 

  • Hammouch Z, Yavuz M, Özdemir N (2021) Numerical solutions and synchronization of a variable-order fractional chaotic system. Math Model Numer Simul Appl 1(1):11–23

    Google Scholar 

  • Hattaf K, Yousfi Y (2018) Modeling the adaptive immunity and both modes of transmission in hiv infection. Computation 6(2):37

    Google Scholar 

  • Hattaf K, Karimi E, Ismail M, Mohsen AA, Hajhouji Z, El Younoussi M, Yousfi N (2023) Mathematical modeling and analysis of the dynamics of rna viruses in presence of immunity and treatment: a case study of sars-cov-2. Vaccines 11(2):201

    CAS  Google Scholar 

  • Huang C, Wang J, Chen X et al (2021) Bifurcations in a fractional-order bam neural network with four different delays. Neural Netw 141:344–354

    Google Scholar 

  • Huo J, Zhao H, Zhu L (2015) The effect of vaccines on backward bifurcation in a fractional order hiv model. Nonlinear Anal Real World Appl 26:289–305. https://doi.org/10.1016/j.nonrwa.2015.05.008

    Article  Google Scholar 

  • Iwasa Y, Michor F, Nowak M (2004) Some basic properties of immune selection. J Theor Biol 229(2):179–188

    Google Scholar 

  • Joshi H, Jha BK (2021) Chaos of calcium diffusion in parkinson’s infectious disease model and treatment mechanism via hilfer fractional derivative. Math Model Nat Phenom 1(2):84–94

    Google Scholar 

  • Korbel J, Luchko Y (2016) Modelling of financial processes with a space-time fractional diffusion equation of varying order. Fract Calculus Appl Anal 19(6):1414–1433

    Google Scholar 

  • Kubra KT, Ali R (2023) Modeling and analysis of novel COVID-19 outbreak under fractal-fractional derivative in caputo sense with power-law: a case study of Pakistan. Model Earth Syst Environ. https://doi.org/10.1007/s40808-023-01747-w

    Article  Google Scholar 

  • Kumar M, Abbas S (2022) Global dynamics of an age-structured model for hiv viral dynamics with latently infected t cells. Math Comput Simul 198:237–252

    Google Scholar 

  • Li HL, Zhang L, Hu C, Jiang YL, Teng Z (2017) Dynamical analysis of a fractional-order prey-predator model incorporating a prey refuge. J Appl Math Comput 54:435–449

    Google Scholar 

  • Li C, Dong X, Wang J (2022) Stability analysis of an age-structured viral infection model with latency. Electron J Differ Equ 16:1–26

    Google Scholar 

  • Naik PA, Owolabi K, Yavuz M et al (2020) Chaotic dynamics of a fractional-order hiv-1 model involving aids-related cancer cells. Chaos Solitons Fractals 140:11027

    Google Scholar 

  • Naik PA, Eskandari Z, Shahkari HE (2021) Flip and generalized flip bifurcations of a two-dimensional discrete-time chemical model. Math Model Nat Phenom 16(1):95–101

    Google Scholar 

  • Naim M, Lahmidi F, Namir A (2019) Output controllability and optimal output control of positive fractional order linear discrete system with multiple delays in state, input and output. J Appl Anal Comput 9(6):2169–2189

    Google Scholar 

  • Naim M, Lahmidi F, Namir A, Kouidere A (2021) Dynamics of an fractional seir epidemic model with infectivity in latent period and general nonlinear incidence rate. Chaos Solitons Fractals 152:111456

    Google Scholar 

  • Naim M, Sabbar Y, Zahri M, Ghanbari B, Zeb A, Gul N, Djilali S, Lahmidi F (2022) The impact of dual time delay and caputo fractional derivative on the long-run behavior of a viral system with the non-cytolytic immune. Phys Scr 97(12):124002

    CAS  Google Scholar 

  • Nangue A, Tchuimeni Y (2023) Stability of a diffusive-delayed hcv infection model with general cell-to-cell incidence function incorporating immune response and cell proliferation. Theory Biosci 142:235–258

    CAS  Google Scholar 

  • Odibat ZM, Shawagfeh NT (2007) Generalized taylor’s formula. Appl Math Comput 186(1):286–293

    Google Scholar 

  • Oldham K, Spanier J (1974) The fractional calculus. Academic Press, New York

    Google Scholar 

  • Ozkose F, Yilmaz S, Yavuz M et al (2022) A fractional modeling of tumor-immune system interaction related to lung cancer with real data. Eur Phys J Plus 137(40):1–28

    Google Scholar 

  • 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

    Google Scholar 

  • Petras I (2011) Fractional-order nonlinear systems: modeling, analysis and simulation. Higher Education Press, Beijing

    Google Scholar 

  • Podlubny I (1999) Fractional differential equations. Academic Press, San Diego

    Google Scholar 

  • Rajaji R, Pitchaimani M (2020) Analysis of stochastic viral infection model with lytic and nonlytic immune responses. Stoch Anal Appl 38(3):490–505

    Google Scholar 

  • Ross B (1977) The development of fractional calculus. Hist Math 4(1):75–89

    Google Scholar 

  • Sadki M, Danane J, Allali K (2022) Hepatitis c virus fractional-order model: mathematical analysis. Model Earth Syst Environ 9:1695–1707. https://doi.org/10.1007/s40808-022-01582-5

    Article  Google Scholar 

  • Sigal A, Kim JT, Balazs AB, Dekel E, Mayo A, Milo R, Baltimore D (2011) Cell-to-cell spread of hiv permits ongoing replication despite antiretroviral therapy. Nature 477:95–98

    CAS  Google Scholar 

  • Vargas-De-León C (2014) Global properties for a virus dynamics model with lytic and non-lytic immune responses, and nonlinear immune attack rates. J Biol Syst 22(3):449–462

    Google Scholar 

  • Vargas-De-León C (2015) Volterra-type lyapunov functions for fractional-order epidemic systems. Commun Nonlinear Sci Numer Simul 24(1–3):75–85

    Google Scholar 

  • Wang K, Wang W, Liu X (2006) Global stability in a viral infection model with lytic and nonlytic immune responses. Comput Math Appl 51:1593–1610

    Google Scholar 

  • Wang Z, Xie Y, Lu J, Li Y (2019) Stability and bifurcation of a delayed generalized fractional-order prey–predator model with interspecific competition. Appl Math Comput 347:360–369

    Google Scholar 

  • Wang J, Wu X, Kuniya T (2022) Analysis of a diffusive hbv model with logistic proliferation and non-cytopathic antiviral mechanisms. Commun Nonlinear Sci Numer Simul 106:106110

    Google Scholar 

  • Wodarz D (2005) Mathematical models of immune effector responses to viral infections: virus control versus the development of pathology. J Comput Appl Math 184(1):301–319

    Google Scholar 

  • Wodarz D, Christensen JP, Thomsen AR (2002) The importance of lytic and nonlytic immune responses in viral infections. Trends Immunol 23(4):194–200

    CAS  Google Scholar 

  • Wu P, Zhao H (2020) Dynamics of an hiv infection model with two infection routes and evolutionary competition between two viral strains. Appl Math Model 84:240–264

    Google Scholar 

  • Xu C, Mu D, Pan Y et al (2022) Exploring bifurcation in a fractional-order predator–prey system with mixed delays. J Appl Anal Comput. https://doi.org/10.11948/20210313

    Article  Google Scholar 

  • Xu C, Mu D, Liu Z et al (2023) New insight into bifurcation of fractional-order 4d neural networks incorporating two different time delays. Commun Nonlinear Sci Numer Simul 118:107043

    Google Scholar 

  • Yaagoub Z, Allali K (2022) Fractional hbv infection model with both cell-to-cell and virus-to-cell transmissions and adaptive immunity. Chaos Solitons Fractals 165:112855

    Google Scholar 

  • Yang J, Wang L (2021) Dynamics analysis of a delayed hiv infection model with ctl immune response and antibody immune response. Acta Math Sci 41(3):991–1016

    Google Scholar 

  • Ye M, Li J, Jiang H (2023) Dynamic analysis and optimal control of a novel fractional-order 2i2sr rumor spreading model. Nonlinear Anal Model Control 28:1–28

    Google Scholar 

  • Zhang S, Li F, Xu X (2022) Dynamics and control strategy for a delayed viral infection model. J Biol Dyn 16(1):44–63

    Google Scholar 

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Correspondence to Mouhcine Naim.

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Naim, M., Yaagoub, Z., Zeb, A. et al. Global analysis of a fractional-order viral model with lytic and non-lytic adaptive immunity. Model. Earth Syst. Environ. 10, 1749–1769 (2024). https://doi.org/10.1007/s40808-023-01866-4

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