About: Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data

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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
title	Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
Creator	Liu, Z Magal, P Seydi, O Webb, G
source	MedRxiv
abstract	We model the COVID-19 coronavirus epidemic in China. 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	2020-03-13(xsd:dateTime)
bibo:doi	10.1101/2020.03.11.20034314
has license	medrxiv
sha1sum (hex)	f5adadd5b7db2309ee5ef42e09ac078937524e4e
schema:url	https://doi.org/10.1101/2020.03.11.20034314
resource representing a document's title	Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
resource representing a document's body	covid:f5adadd5b7db2309ee5ef42e09ac078937524e4e#body_text
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