About: Mathematical Modeling of COVID-19 Transmission Dynamics with a Case Study of Wuhan

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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	Mathematical Modeling of COVID-19 Transmission Dynamics with a Case Study of Wuhan
Creator	Nieto, Juan Area, Iván Ndaïrou, Faïçal Torres, Delfim
Source	ArXiv; Elsevier; Medline; PMC
abstract	Abstract We propose a compartmental mathematical model for the spread of the COVID-19 disease with special focus on the transmissibility of super-spreaders individuals. We compute the basic reproduction number threshold, we study the local stability of the disease free equilibrium in terms of the basic reproduction number, and we investigate the sensitivity of the model with respect to the variation of each one of its parameters. Numerical simulations show the suitability of the proposed COVID-19 model for the outbreak that occurred in Wuhan, China.
has issue date	2020-04-27(xsd:dateTime)
bibo:doi	10.1016/j.chaos.2020.109846
bibo:pmid	32341628
has license	els-covid
sha1sum (hex)	535f9953ddc3aed036af13cb48fa2a148c6572b4
schema:url	https://doi.org/10.1016/j.chaos.2020.109846
resource representing a document's title	Mathematical Modeling of COVID-19 Transmission Dynamics with a Case Study of Wuhan
has PubMed Central identifier	PMC7184012
has PubMed identifier	32341628
schema:publication	Chaos Solitons Fractals
resource representing a document's body	covid:535f9953ddc3aed036af13cb48fa2a148c6572b4#body_text
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