About: A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects

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About: A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects
Creator	Lu, Z Wang, · Yin, · Yu, · Conghui, Ren Guojian, Chen Lu, Zhenzhen Mechatronics, Y Ren, · Shuhui, Xu Xu, · Yangquan, Yu Yongguang, · Zhe, Wang
Source	Medline; PMC
abstract	In the end of 2019, a new type of coronavirus first appeared in Wuhan. Through the real-data of COVID-19 from January 23 to March 18, 2020, this paper proposes a fractional SEIHDR model based on the coupling effect of inter-city networks. At the same time, the proposed model considers the mortality rates (exposure, infection and hospitalization) and the infectivity of individuals during the incubation period. By applying the least squares method and prediction-correction method, the proposed system is fitted and predicted based on the real-data from January 23 to March [Formula: see text] where m represents predict days. Compared with the integer system, the non-network fractional model has been verified and can better fit the data of Beijing, Shanghai, Wuhan and Huanggang. Compared with the no-network case, results show that the proposed system with inter-city network may not be able to better describe the spread of disease in China due to the lock and isolation measures, but this may have a significant impact on countries that has no closure measures. Meanwhile, the proposed model is more suitable for the data of Japan, the USA from January 22 and February 1 to April 16 and Italy from February 24 to March 31. Then, the proposed fractional model can also predict the peak of diagnosis. Furthermore, the existence, uniqueness and boundedness of a nonnegative solution are considered in the proposed system. Afterward, the disease-free equilibrium point is locally asymptotically stable when the basic reproduction number [Formula: see text] , which provide a theoretical basis for the future control of COVID-19.
has issue date	2020-08-05(xsd:dateTime)
bibo:doi	10.1007/s11071-020-05848-4
bibo:pmid	32836817
has license	no-cc
sha1sum (hex)	4fd5d448d2154afda5b0eed919b004cbe9d89f29
schema:url	https://doi.org/10.1007/s11071-020-05848-4
resource representing a document's title	A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects
has PubMed Central identifier	PMC7405792
has PubMed identifier	32836817
schema:publication	Nonlinear Dyn
resource representing a document's body	covid:4fd5d448d2154afda5b0eed919b004cbe9d89f29#body_text
is schema:about of	named entity 'January 23' named entity 'COVID-19' named entity 'January 23' named entity 'infectivity' named entity 'WUHAN' named entity 'INFECTIVITY' named entity 'CLOSURE' named entity 'DESCRIBE' named entity 'BETTER' named entity '2019' named entity 'VERIFIED' named entity 'data' named entity 'fractional' named entity 'integer' named entity 'fractional' named entity 'Beijing' named entity 'coronavirus' named entity 'infectivity' named entity 'incubation period' named entity 'COVID-19' named entity 'epidemic' named entity 'continuous time' named entity 'master equations' named entity 'epidemic model' named entity 'Italy' named entity 'Lipschitz condition' named entity 'infectious diseases' named entity 'Japan' named entity 'Wuhan' named entity 'Shanghai' named entity 'COVID-19' named entity 'Wuhan' named entity 'stochastic process' named entity '1, 2' named entity 'epidemic' named entity 'asymptotically stable' named entity 'disease-free' named entity 'Japan' named entity 'infectious diseases' named entity 'mortality rate' named entity 'China' named entity 'instantaneous rate of change' named entity 'Huanggang' named entity 'relative error' named entity 'disease-free' named entity 'integer' named entity 'COVID-19' named entity 'Japan' named entity 'infectious disease' named entity 'virus' named entity 'infectious disease' named entity 'dynamic model' named entity 'Beijing' named entity 'nucleic acid' named entity 'China' named entity 'Wuhan' named entity 'March 18' named entity 'epidemic' named entity 'infection' named entity '1, 2' named entity 'basic reproduction number' named entity 'integer' named entity 'disease-free' named entity 'virus transmission' named entity 'asymptotically stable' named entity 'COVID-19' named entity 'COVID-19' named entity 'asymptotical'

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