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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Detalles Bibliográficos
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
Descripción
Sumario: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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