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Research Article | Open Access

Mathematical analysis of a fractional-order epidemic model with nonlinear incidence function

Salih Djillali1,2Abdon Atangana3Anwar Zeb4( )Choonkil Park5( )
Faculty of Exact and Computer Sciences, Mathematics Department, Hassiba Benbouali university, Chlef, Algeria
Laboratoire d'Analyse Non Linéaire et Mathématiques Appliquées, University of Tlemcen, Tlemcen, Algeria
Institute for Groundwater Studies, faculty of natural and agricultural science, University of the Free State, Bloemfontein, 9300, South Africa
Department of Mathematics, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, 22060, Khyber Pakhtunkhwa, Pakistan
Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Korea
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Abstract

In this paper, we are interested in studying the spread of infectious disease using a fractional-order model with Caputo's fractional derivative operator. The considered model includes an infectious disease that includes two types of infected class, the first shows the presence of symptoms (symptomatic infected persons), and the second class does not show any symptoms (asymptomatic infected persons). Further, we considered a nonlinear incidence function, where it is obtained that the investigated fractional system shows some important results. In fact, different types of bifurcation are obtained, as saddle-node bifurcation, transcritical bifurcation, Hopf bifurcation, where it is discussed in detail through the research. For the numerical part, a proper numerical scheme is used for the graphical representation of the solutions. The mathematical findings are checked numerically.

CLC number: 49J15, 92D25, 93D20

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AIMS Mathematics
Pages 2160-2175

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Cite this article:
Djillali S, Atangana A, Zeb A, et al. Mathematical analysis of a fractional-order epidemic model with nonlinear incidence function. AIMS Mathematics, 2022, 7(2): 2160-2175. https://doi.org/10.3934/math.2022123

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Received: 16 September 2021
Accepted: 28 October 2021
Published: 15 February 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)