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

Year 2023, Volume: 5 Issue: 1, 27 - 33, 31.03.2023

Muhammad Sinan , Kamal Shah , Thabet Abdeljawad , Ali Akgul

https://doi.org/10.51537/chaos.1210461

Cited By: 2

An Erratum to this article was published on November 30, 2023. https://dergipark.org.tr/en/pub/chaos/issue/80150/1392836

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 (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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