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A fractional order model for Hepatitis B virus with treatment via Atangana–Baleanu derivative

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  • Shah, Syed Azhar Ali
  • Khan, Muhammad Altaf
  • Farooq, Muhammad
  • Ullah, Saif
  • Alzahrani, Ebraheem O.

Abstract

Hepatitis B infection is a serious public health issue worldwide and can be controlled through proper treatment. Mathematical models can be effectively used to explore the effect of different treatment strategies on hepatitis B patients. In this paper, we illustrate a new epidemic fractional order model of the hepatitis B virus with treatment case via Atangana–Baleanu derivative in Caputo sense. In the beginning, we investigate the non-negativity and uniqueness of the model solution. Then, we evaluate the basic reproduction number and equilibria of the model. Further, an iterative scheme is applied to calculate solution of the proposed model. Finally, to show the influence of fractional order and model parameters, we present a detail numerical simulations for different values of fractional order “γ”. The results show the importance and convincing behavior of the fractional order “γ” and ensure that by including the memory effects in the model seems very appropriate for such an investigation.

Suggested Citation

  • Shah, Syed Azhar Ali & Khan, Muhammad Altaf & Farooq, Muhammad & Ullah, Saif & Alzahrani, Ebraheem O., 2020. "A fractional order model for Hepatitis B virus with treatment via Atangana–Baleanu derivative," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    • Handle: RePEc:eee:phsmap:v:538:y:2020:i:c:s0378437119315067
    DOI: 10.1016/j.physa.2019.122636
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    References listed on IDEAS

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    1. Khan, Muhammad Altaf & Islam, Saeed & Zaman, Gul, 2018. "Media coverage campaign in Hepatitis B transmission model," Applied Mathematics and Computation, Elsevier, vol. 331(C), pages 378-393.
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    4. Qureshi, Sania & Atangana, Abdon, 2019. "Mathematical analysis of dengue fever outbreak by novel fractional operators with field data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    5. Coronel-Escamilla, A. & Gómez-Aguilar, J.F. & López-López, M.G. & Alvarado-Martínez, V.M. & Guerrero-Ramírez, G.V., 2016. "Triple pendulum model involving fractional derivatives with different kernels," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 248-261.
    6. Qureshi, Sania & Yusuf, Abdullahi & Shaikh, Asif Ali & Inc, Mustafa, 2019. "Transmission dynamics of varicella zoster virus modeled by classical and novel fractional operators using real statistical data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    7. Atangana, Abdon & Gómez-Aguilar, J.F., 2018. "Fractional derivatives with no-index law property: Application to chaos and statistics," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 516-535.
    8. Saad, Khaled M. & Gómez-Aguilar, J.F., 2018. "Analysis of reaction–diffusion system via a new fractional derivative with non-singular kernel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 703-716.
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    Cited by:

    1. Sunil Kumar & Ali Ahmadian & Ranbir Kumar & Devendra Kumar & Jagdev Singh & Dumitru Baleanu & Mehdi Salimi, 2020. "An Efficient Numerical Method for Fractional SIR Epidemic Model of Infectious Disease by Using Bernstein Wavelets," Mathematics, MDPI, vol. 8(4), pages 1-22, April.
    2. Hoang, Manh Tuan, 2023. "Dynamical analysis of a generalized hepatitis B epidemic model and its dynamically consistent discrete model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 205(C), pages 291-314.

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