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

Anil Chavada, Nimisha Pathak, Sagar R. Khirsariya

2024Mathematical Modelling and Control18 citationsDOIOpen Access PDF

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.

Topics & Concepts

UniquenessStability (learning theory)Fractional calculusApplied mathematicsMathematicsBasic reproduction numberDerivative (finance)Computer scienceMedicineMathematical analysisEnvironmental healthPopulationFinancial economicsMachine learningEconomicsFractional Differential Equations SolutionsMathematical and Theoretical Epidemiology and Ecology Models