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Research Article | Open Access

A new aftertreatment technique for the Mittag-Leffler function of a fractional nonlinear SIR-epidemic model

Laila F. Seddek1( )Abdelhalim Ebaid2Essam R. El-Zahar1Mona D. Aljoufi2
Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam bin Abdulaziz University, P.O. Box 83, Al-Kharj 11942, Saudi Arabia
Department of Mathematics, Faculty of Science, University of Tabuk, P.O. Box 741, Tabuk 71491, Saudi Arabia
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Abstract

This paper introduced a new aftertreatment technique for solving a fractional nonlinear Susceptible-Infectious-Recovered (SIR)-epidemic model. The proposed approach reformulated the power series solution via incorporating the Laplace transform and its inverse. Basically, it applied the Laplace transform to convert the series solution into different Pad e ´ -approximants involving Laplace's parameter with arbitrary order. This procedure facilitated the method of deriving the inverse Laplace transform explicitly, as a final step, using basic special functions in fractional calculus. Our analysis was capable of obtaining a sequence of closed-form approximations in terms of the Mittag-Leffler functions. The current results may be provided for the first time regarding the Mittag-Leffler solution of the fractional SIR-model. Additionally, the outcome of this analysis revealed that our approach was not only effective but also applicable to a wide range of fractional differential equations and systems.

CLC number: 34A08, 34A34, 92D30

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AIMS Mathematics
Pages 22869-22882

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Cite this article:
Seddek LF, Ebaid A, El-Zahar ER, et al. A new aftertreatment technique for the Mittag-Leffler function of a fractional nonlinear SIR-epidemic model. AIMS Mathematics, 2025, 10(10): 22869-22882. https://doi.org/10.3934/math.20251016

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Received: 09 August 2025
Revised: 12 September 2025
Accepted: 18 September 2025
Published: 09 October 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)