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Computational analysis of control of hepatitis B virus disease through vaccination and treatment strategies

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  • Azhar Iqbal Kashif Butt
  • Muhammad Imran
  • Javeria Aslam
  • Saira Batool
  • Saira Batool

Abstract

Hepatitis B disease is an infection caused by a virus that severely damages the liver. The disease can be both acute and chronic. In this article, we design a new nonlinear SVEICHR model to study dynamics of Hepatitis B Virus (HBV) disease. The aim is to carry out a comprehensive mathematical and computational analysis by exploiting preventive measures of vaccination and hospitalization for disease control. Mathematical properties of proposed model such as boundedness, positivity, and existence and uniqueness of the solutions are proved. We also determine the disease free and endemic equilibrium points. To analyze dynamics of HBV disease, we compute a biologically important quantity known as the reproduction number R0 by using next generation method. We also investigate the stability at both of the equilibrium points. To control the spread of disease due to HBV, two feasible optimal control strategies with three different cases are presented. For this, optimal control problem is constructed and Pontryagin maximum principle is applied with a goal to put down the disease in the population. At the end, we present and discuss effective solutions obtained through a MATLAB code.

Suggested Citation

  • Azhar Iqbal Kashif Butt & Muhammad Imran & Javeria Aslam & Saira Batool & Saira Batool, 2023. "Computational analysis of control of hepatitis B virus disease through vaccination and treatment strategies," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-30, October.
    • Handle: RePEc:plo:pone00:0288024
    DOI: 10.1371/journal.pone.0288024
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    References listed on IDEAS

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    1. Baleanu, Dumitru & Shekari, Parisa & Torkzadeh, Leila & Ranjbar, Hassan & Jajarmi, Amin & Nouri, Kazem, 2023. "Stability analysis and system properties of Nipah virus transmission: A fractional calculus case study," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    2. Ali, Ishtiaq & Ullah Khan, Sami, 2020. "Analysis of stochastic delayed SIRS model with exponential birth and saturated incidence rate," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
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