About: SARS-CoV-2 Viral Load Predicts COVID-19 Mortality

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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
has title	SARS-CoV-2 Viral Load Predicts COVID-19 Mortality
Creator	Zhao, Shan Glicksberg, Benjamin Chaudhry, Fayzan Cordon-Cardo, Carlos Houldsworth, Jane Nadkarni, Girish Pujadas, Elisabet Wajnberg, Ania Mcbride, Russell Richter, Felix
Source	MedRxiv
abstract	The need for reliable and widely available SARS-CoV-2 testing is well recognized, but it will be equally necessary to develop quantitative methods that determine viral load in order to guide patient triage and medical decision making. We are the first to report that SARS-CoV-2 viral load at the time of presentation is an independent predictor of COVID-19 mortality in a large patient cohort (n=1,145). Viral loads should be used to identify higher-risk patients that may require more aggressive care and should be included as a key biomarker in the development of predictive algorithms.
has issue date	2020-06-12(xsd:dateTime)
bibo:doi	10.1101/2020.06.11.20128934
has license	medrxiv
sha1sum (hex)	a1fbe97ec8521ddb7624d7f2b2901d7eed813838
schema:url	https://doi.org/10.1101/2020.06.11.20128934
resource representing a document's title	SARS-CoV-2 Viral Load Predicts COVID-19 Mortality
resource representing a document's body	covid:a1fbe97ec8521ddb7624d7f2b2901d7eed813838#body_text
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