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Research Article | Open Access

A mathematical model for fractal-fractional monkeypox disease and its application to real data

Theoretical and Applied Data Integration Innovations Group, Department of Statistics, Faculty of Science, Ramkhamhaeng University, Bangkok 10240, Thailand; Email:weerawat.s@rumail.ru.ac.th
Research Group of Theoretical and Computational Applied Science, Department of Mathematics, Faculty of Science, Burapha University, Chonburi 20131, Thailand; Email: chatthai@go.buu.ac.th
Department of Computer Engineering, Faculty of Engineering, Ramkhamhaeng University, Bangkok 10240, Thailand; Email: weerapan.s@rumail.ru.ac.th
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Abstract

In this paper, we developed a nonlinear mathematical model for the transmission of the monkeypox virus among populations of humans and rodents under the fractal-fractional operators in the context of Atangana-Baleanu. For the theoretical analysis, the renowned theorems of fixed points, like Banach's and Krasnoselskii's types, were used to prove the existence and uniqueness of the solutions. Additionally, some results regarding the stability of the equilibrium points and the basic reproduction number were provided. In addition, the numerical schemes of the considered model were established using the Adams-Bashforth method. Our analytical findings were supported by the numerical simulations to explain the effects of changing a few sets of fractional orders and fractal dimensions. Some graphic simulations were displayed with some parameters calculated from real data to understand the behavior of the model.

CLC number: 26A33, 34A08, 65L09, 92D25, 92D30

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AIMS Mathematics
Pages 8516-8563

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Cite this article:
Sudsutad W, Thaiprayoon C, Kongson J, et al. A mathematical model for fractal-fractional monkeypox disease and its application to real data. AIMS Mathematics, 2024, 9(4): 8516-8563. https://doi.org/10.3934/math.2024414

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Received: 25 December 2023
Revised: 13 February 2024
Accepted: 19 February 2024
Published: 15 April 2024
©2024 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)