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Research Article | Open Access

Fractional-order dynamics of Chagas-HIV epidemic model with different fractional operators

Rahat Zarin1Amir Khan2,3Pushpendra Kumar4Usa Wannasingha Humphries3( )
Department of Basic Sciences, University of Engineering and Technology, Peshawar, Pakistan
Department of Mathematics and Statistics, University of Swat, Khyber Pakhtunkhawa, Pakistan
Department of Mathematics, Faculty of Science, King Mongkut's University of Technology, Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand
Institute for the Future of Knowledge, University of Johannesburg, P.O. Box 524, Auckland Park 2006, South Africa
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Abstract

In this research, we reformulate and analyze a co-infection model consisting of Chagas and HIV epidemics. The basic reproduction number R 0 of the proposed model is established along with the feasible region and disease-free equilibrium point E 0 . We prove that E 0 is locally asymptotically stable when R 0 is less than one. Then, the model is fractionalized by using some important fractional derivatives in the Caputo sense. The analysis of the existence and uniqueness of the solution along with Ulam-Hyers stability is established. Finally, we solve the proposed epidemic model by using a novel numerical scheme, which is generated by Newton polynomials. The given model is numerically solved by considering some other fractional derivatives like Caputo, Caputo-Fabrizio and fractal-fractional with power law, exponential decay and Mittag-Leffler kernels.

CLC number: 26A33, 34A08

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AIMS Mathematics
Pages 18897-18924

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Cite this article:
Zarin R, Khan A, Kumar P, et al. Fractional-order dynamics of Chagas-HIV epidemic model with different fractional operators. AIMS Mathematics, 2022, 7(10): 18897-18924. https://doi.org/10.3934/math.20221041

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Received: 08 April 2022
Revised: 20 June 2022
Accepted: 29 June 2022
Published: 15 October 2022
©2022 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)