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Solution of a nonlinear fractional COVID-19 model

Marwan Abukhaled (Department of Mathematics and Statistics, American University of Sharjah, Sharjah, United Arab Emirates)
Suheil Khuri (Department of Mathematics and Statistics, American University of Sharjah, Sharjah, United Arab Emirates)
Fatima Rabah (Department of Mathematics and Statistics, American University of Sharjah, Sharjah, United Arab Emirates)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 11 April 2022

Issue publication date: 25 November 2022

127

Abstract

Purpose

The purpose of this study is to obtain an analytical solution for a nonlinear system of the COVID-19 model for susceptible, exposed, infected, isolated and recovered.

Design/methodology/approach

The Laplace decomposition method and the differential transformation method are used.

Findings

The obtained analytical results are useful on two fronts: first, they would contribute to a better understanding of the dynamic spread of the COVID-19 disease and help prepare effective measures for prevention and control. Second, researchers would benefit from these results in modifying the model to study the effect of other parameters such as partial closure, awareness and vaccination of isolated groups on controlling the pandemic.

Originality/value

The approach presented is novel in its implementation of the nonlinear system of the COVID-19 model

Keywords

Acknowledgements

The authors thank the anonymous reviewers for their helpful comments on the earlier draft of the manuscript.

Citation

Abukhaled, M., Khuri, S. and Rabah, F. (2022), "Solution of a nonlinear fractional COVID-19 model", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 32 No. 12, pp. 3657-3670. https://doi.org/10.1108/HFF-01-2022-0042

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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