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Research Article

ANALYTICAL AND APPROXIMATE SOLUTIONS FOR CONFORMABLE FRACTIONAL ORDER CORONA-VIRUS (COVID-19) EPIDEMIC MODEL

A
Anthonysamy John Christopher Post-Graduate and Research Department of Mathematics, Government Arts College for Men, Krishnagiri - 635001, Tamil Nadu, INDIA
N
Nanjudan Magesh Post-Graduate and Research Department of Mathematics, Government Arts College for Men, Krishnagiri - 635001, Tamil Nadu, INDIA
Volume 18, Issue 2 Pages 331-348 August 30, 2022 326 downloads
Article overview

Abstract

In this investigation, we discussed the SARS-CoV-2 virus into a system of equations and we apply the Conformable Fractional Differential Transformation Method (CFDTM) to COVID-19 mathematical model described by the system of non-linear conformable fractional order differential equations. The aspire of this study is to estimate the effectiveness of preventive measures, predicting future outbreaks and potential control strategies using the mathematical model. The impacts of various biological parameters on transmission dynamics of COVID-19 is examined. These results are based on different values of the fractional parameter and serve as a control parameter to identify the significant strategies for the control of the disease. In the end, the obtained results are demonstrated graphically to justify our theoretical findings.

Keywords and Phrases

Mathematical modelsEpidemic modelCorona-virus (COVID - 19)$\alpha-$differentiableConformable Fractional Differential Transform Method.

AMS Subject Classification

34F05, 92D30, 65P20.

Reference information

How to Cite

Anthonysamy John Christopher, Nanjudan Magesh (2022). ANALYTICAL AND APPROXIMATE SOLUTIONS FOR CONFORMABLE FRACTIONAL ORDER CORONA-VIRUS (COVID-19) EPIDEMIC MODEL. South East Asian Journal of Mathematics and Mathematical Sciences, 18(2), 331-348.
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