Dynamics of Caputo Fractional Order SEIRV Epidemic Model with Optimal Control and Stability Analysis
In mid-March 2020, the World Health Organization declared COVID-19, a worldwide public health emergency. This paper presents a study of an SEIRV epidemic model with optimal control in the context of the Caputo fractional derivative of order 0 < ν ≤ 1 . The stability analysis of the model is perfo...
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Published in | International journal of applied and computational mathematics Vol. 8; no. 1; p. 28 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New Delhi
Springer India
2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | In mid-March 2020, the World Health Organization declared COVID-19, a worldwide public health emergency. This paper presents a study of an SEIRV epidemic model with optimal control in the context of the Caputo fractional derivative of order
0
<
ν
≤
1
. The stability analysis of the model is performed. We also present an optimum control scheme for an SEIRV model. The real time data for India COVID-19 cases have been used to determine the parameters of the fractional order SEIRV model. The Adam-Bashforth-Moulton predictor–corrector method is implemented to solve the SEIRV model numerically. For analyzing COVID-19 transmission dynamics, the fractional order of the SEIRV model is found to be better than the integral order. Graphical demonstration and numerical simulations are presented using MATLAB (2018a) software. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2349-5103 2199-5796 |
DOI: | 10.1007/s40819-021-01224-x |