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