A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model

In this paper, a new stochastic fractional Coronavirus (2019-nCov) model with modified parameters is presented. The proposed stochastic COVID-19 model describes well the real data of daily confirmed cases in Wuhan. Moreover, a novel fractional order operator is introduced, it is a linear combination...

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Autores principales: Sweilam, N.H., AL - Mekhlafi, S.M., Baleanu, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874938/
https://www.ncbi.nlm.nih.gov/pubmed/33589855
http://dx.doi.org/10.1016/j.chaos.2021.110762
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author Sweilam, N.H.
AL - Mekhlafi, S.M.
Baleanu, D.
author_facet Sweilam, N.H.
AL - Mekhlafi, S.M.
Baleanu, D.
author_sort Sweilam, N.H.
collection PubMed
description In this paper, a new stochastic fractional Coronavirus (2019-nCov) model with modified parameters is presented. The proposed stochastic COVID-19 model describes well the real data of daily confirmed cases in Wuhan. Moreover, a novel fractional order operator is introduced, it is a linear combination of Caputo’s fractional derivative and Riemann-Liouville integral. Milstein’s higher order method is constructed with the new fractional order operator to study the model problem. The mean square stability of Milstein algorithm is proved. Numerical results and comparative studies are introduced.
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spelling pubmed-78749382021-02-11 A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model Sweilam, N.H. AL - Mekhlafi, S.M. Baleanu, D. Chaos Solitons Fractals Article In this paper, a new stochastic fractional Coronavirus (2019-nCov) model with modified parameters is presented. The proposed stochastic COVID-19 model describes well the real data of daily confirmed cases in Wuhan. Moreover, a novel fractional order operator is introduced, it is a linear combination of Caputo’s fractional derivative and Riemann-Liouville integral. Milstein’s higher order method is constructed with the new fractional order operator to study the model problem. The mean square stability of Milstein algorithm is proved. Numerical results and comparative studies are introduced. Elsevier Ltd. 2021-04 2021-02-10 /pmc/articles/PMC7874938/ /pubmed/33589855 http://dx.doi.org/10.1016/j.chaos.2021.110762 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Sweilam, N.H.
AL - Mekhlafi, S.M.
Baleanu, D.
A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model
title A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model
title_full A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model
title_fullStr A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model
title_full_unstemmed A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model
title_short A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model
title_sort hybrid stochastic fractional order coronavirus (2019-ncov) mathematical model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874938/
https://www.ncbi.nlm.nih.gov/pubmed/33589855
http://dx.doi.org/10.1016/j.chaos.2021.110762
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