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Research Article | Open Access

Modeling hepatitis B transmission dynamics with spatial diffusion and disability potential in the chronic stage

Kamel Guedri1Rahat Zarin2( )Ashfaq Khan3Amir Khan3Basim M. Makhdoum1,4Hatoon A. Niyazi5
Mechanical Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, P.O. Box 5555, Makkah 21955, Saudi Arabia
Department of Mathematics, Faculty of Science, King Mongkut's University of Technology, Thonburi (KMUTT), Bangkok 10140, Thailand
Department of Mathematics and Statistics, University of Swat, Khyber Pakhtunkhwa, Pakistan
King Salman Center for Disability Research, Riyadh 11614, Saudi Arabia
Department of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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Abstract

In this study, we introduce a novel reaction-diffusion epidemic model to analyze the transmission dynamics of the hepatitis B virus (HBV). The model captured the interactions between five population groups: Susceptible individuals, those in the latent stage, acutely infected individuals, chronically infected individuals, and those who have recovered, while considering the spatial movement of these groups. Chronic HBV infection contributes to severe liver diseases such as cirrhosis and hepatocellular carcinoma. It is also a major cause of long-term disability due to complications that impair daily functioning. The stability conditions for the model were derived, and the basic reproductive number, R 0 , was calculated using the next-generation matrix approach. Numerical simulations were performed using the Crank-Nicolson operator splitting method and the Unconditionally Positivity Preserving technique to solve the model under scenarios with and without diffusion. The stability of the endemic equilibrium point was analyzed comprehensively. Detailed simulation results are presented, highlighting a comparative analysis of the numerical findings in cases where exact solutions were unavailable. The reliability of the numerical results was validated by their alignment with theoretical expectations.

CLC number: 35Q92, 65M06, 92D30

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AIMS Mathematics
Pages 1322-1349

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Cite this article:
Guedri K, Zarin R, Khan A, et al. Modeling hepatitis B transmission dynamics with spatial diffusion and disability potential in the chronic stage. AIMS Mathematics, 2025, 10(1): 1322-1349. https://doi.org/10.3934/math.2025061

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Received: 29 November 2024
Revised: 28 December 2024
Accepted: 13 January 2025
Published: 15 January 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)