About: Predicting the number of reported and unreported cases for the COVID-19 epidemic in South Korea, Italy, France and Germany

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About: Predicting the number of reported and unreported cases for the COVID-19 epidemic in South Korea, Italy, France and Germany Goto Sponge NotDistinct Permalink

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
title	Predicting the number of reported and unreported cases for the COVID-19 epidemic in South Korea, Italy, France and Germany
Creator	Korea, South Magal, Germany Webb, G
source	MedRxiv
abstract	We model the COVID-19 coronavirus epidemic in South Korea, Italy, France, and Germany. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies restricting social movement, the identification and isolation of unreported cases, and the impact of asymptomatic infectious cases.
has issue date	2020-03-24(xsd:dateTime)
bibo:doi	10.1101/2020.03.21.20040154
has license	medrxiv
sha1sum (hex)	1207759681b7b27543e1c5785b0cdb4007e61d68
schema:url	https://doi.org/10.1101/2020.03.21.20040154
resource representing a document's title	Predicting the number of reported and unreported cases for the COVID-19 epidemic in South Korea, Italy, France and Germany
resource representing a document's body	covid:1207759681b7b27543e1c5785b0cdb4007e61d68#body_text
is schema:about of	named entity 'Germany' named entity 'case' named entity 'number' named entity 'South Korea' named entity 'COVID' »more»

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