Analysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise Derivative

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Chaos Theory and Applications
Volume:5 Issue:1
Analysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise Derivative

Analysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise Derivative

Authors : Muhammad SİNAN, Kamal SHAH, Thabet ABDELJAWAD, Ali AKGUL

Pages : 27-33

Doi:10.51537/chaos.1210461

View : 35 | Download : 9

Publication Date : 2023-03-31

Article Type : Research Paper

Abstract :Short memory and long memory terms are excellently explained using the concept of piecewise fractional order derivatives. In this research work, we investigate dynamical systems addressing COVID-19 under piecewise equations with fractional order derivative insert ignore into journalissuearticles values(FOD);. Here, we study the sensitivity of the proposed model by using some tools from the nonlinear analysis. Additionally, we develop a numerical scheme to simulate the model against various fractional orders by using Matlab 2016. All the results are presented graphically.
Keywords : Nonlinear dynamical system, Crossover behavior, Mathematical biology, Sensitivity analysis

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