About: SEIR modeling of the COVID-19 and its dynamics

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	SEIR modeling of the COVID-19 and its dynamics
Creator	Sun, Peng Yuexi, Shaobo
Source	Medline; PMC
abstract	In this paper, a SEIR epidemic model for the COVID-19 is built according to some general control strategies, such as hospital, quarantine and external input. Based on the data of Hubei province, the particle swarm optimization (PSO) algorithm is applied to estimate the parameters of the system. We found that the parameters of the proposed SEIR model are different for different scenarios. Then, the model is employed to show the evolution of the epidemic in Hubei province, which shows that it can be used to forecast COVID-19 epidemic situation. Moreover, by introducing the seasonality and stochastic infection the parameters, nonlinear dynamics including chaos are found in the system. Finally, we discussed the control strategies of the COVID-19 based on the structure and parameters of the proposed model.
has issue date	2020-06-18(xsd:dateTime)
bibo:doi	10.1007/s11071-020-05743-y
bibo:pmid	32836803
has license	no-cc
sha1sum (hex)	b5d4689beb3c46916e3cf929cc8983242e2a72b2
schema:url	https://doi.org/10.1007/s11071-020-05743-y
resource representing a document's title	SEIR modeling of the COVID-19 and its dynamics
has PubMed Central identifier	PMC7301771
has PubMed identifier	32836803
schema:publication	Nonlinear Dyn
resource representing a document's body	covid:b5d4689beb3c46916e3cf929cc8983242e2a72b2#body_text
is schema:about of	named entity 'SEIR' named entity 'control' named entity 'Hubei' named entity 'hospital' named entity 'GENERAL' named entity 'PARAMETERS' named entity 'PARTICLE SWARM' named entity 'CONTROL' named entity 'SCENARIOS' named entity 'NONLINEAR DYNAMICS' named entity 'INPUT' named entity 'PAPER' named entity 'HOSPITAL' named entity 'algorithm' named entity 'based' named entity 'infection' named entity 'employed' named entity 'general' named entity 'control' named entity 'Hubei' named entity 'COVID' named entity 'stochastic' named entity 'nonlinear dynamics' named entity 'control strategies' named entity 'infection' named entity 'epidemic' named entity 'COVID-19' named entity 'complexity measure' named entity 'algorithm' named entity 'single stranded' named entity 'quarantine' named entity 'infection' named entity 'Nonlinear dynamics' named entity 'COVID-19' named entity 'Wuhan' named entity 'epidemic' named entity 'phase space' named entity 'complexity analysis' named entity 'Hubei' named entity 'Wuhan' named entity 'epidemics' named entity 'infection' named entity 'coronaviridae' named entity 'stochastic' named entity 'nonlinear dynamics' named entity 'PSO' named entity 'infection' named entity 'floor function' named entity 'discrete Fourier transform' named entity 'infection rate' named entity 'SEIR' named entity 'cure rate' named entity 'PSO' named entity 'Hubei' named entity 'quarantine' named entity 'time series' named entity 'algorithm' named entity 'nonlinear dynamics' named entity 'COVID' named entity 'data set' named entity 'infection' named entity 'stochastic' named entity 'algorithm' named entity 'infection rate' named entity 'infection' named entity 'Hubei province' named entity 'transmission of diseases' named entity 'algorithm' named entity 'SEIR' named entity 'infection' named entity 'SEIR' named entity 'Logistic map' named entity 'epidemic' named entity 'quarantine' named entity 'infection' named entity 'COVID' named entity 'epidemic' named entity 'virus' named entity 'SEIR' named entity 'algorithm'

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