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An efficient algorithm for solving the fractional optimal control of SIRV epidemic model with a combination of vaccination and treatment

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  • Ameen, I.
  • Baleanu, Dumitru
  • Ali, Hegagi Mohamed

Abstract

In this paper, a general formulation for the SIRV epidemiological model is presented as a system of fractional order derivatives with respect to time to characterize some infectious diseases alongside the proportion of u1 and u2, that describe of vaccination and treatment, respectively. This fractional mathematical formulation is based on the fractional-order Caputo derivative. The stability of Equilibrium Points (EPs) is studied using the stability theorem of the Fractional Differential Equations (FDEs), and the basic reproduction number of this model is computed. The Fractional Euler Method (FEM) is used to obtain an approximate solution of the suggested model in the absence of vaccination and treatment. Then, we formulated a Fractional Optimal Control Problem (FOCP) and derived a fractional-order Necessary Optimality Conditions (NOCs) by using Ponntryagin’s maximum principle, where we stated the state and adjoint equations in the form of the Left Caputo Fractional Derivative (LCFD) to facilitate the use of fractional numerical methods to solve this FOCP. The resulting optimality system is solved numerically by developing the Forward-Backward Sweep Method (FBSM) using the FEM. Moreover, we discuss the simulation of optimality results and propose three control strategies in this FOCP depend on a combination of two suggested controls.

Suggested Citation

  • Ameen, I. & Baleanu, Dumitru & Ali, Hegagi Mohamed, 2020. "An efficient algorithm for solving the fractional optimal control of SIRV epidemic model with a combination of vaccination and treatment," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    • Handle: RePEc:eee:chsofr:v:137:y:2020:i:c:s0960077920302927
    DOI: 10.1016/j.chaos.2020.109892
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    References listed on IDEAS

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    1. I. Ameen & M. Hidan & Z. Mostefaoui & H.M. Ali, 2020. "Fractional Optimal Control with Fish Consumption to Prevent the Risk of Coronary Heart Disease," Complexity, Hindawi, vol. 2020, pages 1-13, February.
    2. Dokuyucu, Mustafa Ali & Dutta, Hemen, 2020. "A fractional order model for Ebola Virus with the new Caputo fractional derivative without singular kernel," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    3. Ali, Hegagi Mohamed & Ameen, Ismail Gad, 2020. "Save the pine forests of wilt disease using a fractional optimal control strategy," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    4. Huang, Jiechen & Wang, Juan & Xia, Chengyi, 2020. "Role of vaccine efficacy in the vaccination behavior under myopic update rule on complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    5. Veeresha, P. & Baskonus, Haci Mehmet & Prakasha, D.G. & Gao, Wei & Yel, Gulnur, 2020. "Regarding new numerical solution of fractional Schistosomiasis disease arising in biological phenomena," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
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    12. Yuan, Yiran & Li, Ning, 2022. "Optimal control and cost-effectiveness analysis for a COVID-19 model with individual protection awareness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
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