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Research Article | Open Access

A fractional mathematical model for assessing cancer risk due to smoking habits

Anil Chavada1Nimisha Pathak1Sagar R. Khirsariya2( )
Department of Applied Mathematics, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Vadodara 390001, Gujarat, India
Department of Mathematics, Marwadi University, Rajkot 360003, Gujarat, India
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Abstract

This article presents and analyzes a mathematical model for smoking-related cancer that involves fractional-order derivative with seven different compartments. The model uses the ABC fractional derivative to describe the transmission dynamics of cancer caused by the smoking habit. We employed the Adams-Bashforth-Moulton method to find the numerical and graphical results of the model and we achieved a good level of accuracy. The existence and uniqueness of the model solution were established using Banach's fixed-point theory. For stability, we investigated the steady state points and basic reproduction number of the system. Additionally, the model's stability was discussed using the Hyers-Ulam criterion. The two-dimensional (2D) and three-dimensional (3D) simulations were performed for the different compartments and for the various values of the fractional-order parameters.

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Mathematical Modelling and Control
Pages 246-259

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Cite this article:
Chavada A, Pathak N, Khirsariya SR. A fractional mathematical model for assessing cancer risk due to smoking habits. Mathematical Modelling and Control, 2024, 4(3): 246-259. https://doi.org/10.3934/mmc.2024020

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Received: 10 January 2024
Revised: 17 March 2024
Accepted: 07 May 2024
Published: 15 September 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)