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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Detalles Bibliográficos
Autores principales: Singh, Harendra, Srivastava, H.M., Hammouch, Zakia, Sooppy Nisar, Kottakkaran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833007/
https://www.ncbi.nlm.nih.gov/pubmed/33520625
http://dx.doi.org/10.1016/j.rinp.2020.103722
Descripción
Sumario: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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