Mathematical analysis of fractional order Covid 19 epidemic model

This article aims to examine the dynamics of the fractional epidemic model of covid 19.The model in question incorporates the notion of a compatible derivative.Given their consistent and worldwide characteristics, fractional derivatives are presently employed to address numerous practical issues.In addition, we employ two numerical techniques, namely the conformal differential transform and the variational iteration approach, to provide an approximate solution for the given model.The research closes by providing an in-depth analysis and visually representing the numerical findings.Furthermore, it has been demonstrated that the solution obtained is convergent.

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Publication Details

Journal
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Published
2025-01-01
DOI
https://doi.org/10.14744/sigma.2025.00161
Primary Topic
COVID-19 epidemiological studies
Type
article
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article

Mathematical analysis of fractional order Covid 19 epidemic model

Pınar Açıkgöz
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
COVID-19 epidemiological studies
article

Mathematical analysis of fractional order Covid 19 epidemic model

Pınar Açıkgöz
article en

Abstract

This article aims to examine the dynamics of the fractional epidemic model of covid 19.The model in question incorporates the notion of a compatible derivative.Given their consistent and worldwide characteristics, fractional derivatives are presently employed to address numerous practical issues.In addition, we employ two numerical techniques, namely the conformal differential transform and the variational iteration approach, to provide an approximate solution for the given model.The research closes by providing an in-depth analysis and visually representing the numerical findings.Furthermore, it has been demonstrated that the solution obtained is convergent.

Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Openalex Percentile: Top 68%
COVID-19 epidemiological studies
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