Numerical simulation and stability analysis for the fractional-order dynamics of COVID-19

The main purpose of this work is to study the dynamics of a fractional-order Covid-19 model. An efficient computational method, which is based on the discretization of the domain and memory principle, is proposed to solve this fractional-order corona model numerically and the stability of the propos...

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Published inResults in physics Vol. 20; p. 103722
Main Authors Singh, Harendra, Srivastava, H.M., Hammouch, Zakia, Sooppy Nisar, Kottakkaran
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.01.2021
The Author(s). Published by Elsevier B.V
Elsevier
Subjects
Corona virus model
Fractional derivatives
Stability analysis
Fractional derivatives
Stability analysis
Corona virus model
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Summary:The main purpose of this work is to study the dynamics of a fractional-order Covid-19 model. An efficient computational method, which is based on the discretization of the domain and memory principle, is proposed to solve this fractional-order corona model numerically and the stability of the proposed method is also discussed. Efficiency of the proposed method is shown by listing the CPU time. It is shown that this method will work also for long-time behaviour. Numerical results and illustrative graphical simulation are given. The proposed discretization technique involves low computational cost.
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ISSN:2211-3797
2211-3797
DOI:10.1016/j.rinp.2020.103722