A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
HYBRID
Green Open Access
Yes
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Publicly Funded
No
Abstract
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.
Description
Keywords
Stochastic Fractional Model, Hybrid Fractional Operator, Milstein?s Method, General Mathematics, Applied Mathematics, General Physics and Astronomy, Statistical and Nonlinear Physics, Article
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
Sweilam, N. H.; Al-Mekhlafi, S. M.; Baleanu, Dumitru (2021). "A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model", CHAOS SOLITONS & FRACTALS, Vol. 145.
WoS Q
Q1
Scopus Q

OpenCitations Citation Count
34
Source
CHAOS SOLITONS & FRACTALS
Volume
145
Issue
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End Page
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Citations
CrossRef : 22
Scopus : 36
PubMed : 5
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Mendeley Readers : 22

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3.45295556
Sustainable Development Goals
3
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