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

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Date

2023

Journal Title

Journal ISSN

Volume Title

Publisher

Akif AKGUL

Access Rights

info:eu-repo/semantics/openAccess

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. © 2023 Chaos Theory and Applications. All rights reserved.

Description

Keywords

Crossover behavior, Mathematical biology, Nonlinear dynamical system, Sensitivity analysis

Journal or Series

Chaos Theory and Applications

WoS Q Value

Scopus Q Value

Q1

Volume

5

Issue

1

Citation