About: Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020

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About: Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020 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
title	Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020
Creator	Leung, Gabriel Leung, Jessica Cowling, Benjamin Cowling, Joseph Eric, Lau Hao¹, Xinxin Lau¹, Y Leung, Benjamin Leung¹, Kathy Peng, Wu Wong, H Wong¹, Jessica Wu, Kathy S M Wu¹, Joseph Wu¹, Peng Xinxin, Hao
source	Medline; PMC
abstract	A novel coronavirus (2019-nCoV) causing severe acute respiratory disease emerged recently in Wuhan, China. Information on reported cases strongly indicates human-to-human spread, and the most recent information is increasingly indicative of sustained human-to-human transmission. While the overall severity profile among cases may change as more mild cases are identified, we estimate a risk of fatality among hospitalised cases at 14% (95% confidence interval: 3.9–32%).
has issue date	2020-01-23(xsd:dateTime)
bibo:doi	10.2807/1560-7917.es.2020.25.3.2000044
bibo:pmid	31992388
has license	cc-by
sha1sum (hex)	28223ad437aa22ac2285bd9dd775e1415a69411a
schema:url	https://doi.org/10.2807/1560-7917.es.2020.25.3.2000044
resource representing a document's title	Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020
has PubMed Central identifier	PMC6988272
has PubMed identifier	31992388
schema:publication	Euro Surveill
resource representing a document's body	covid:28223ad437aa22ac2285bd9dd775e1415a69411a#body_text
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