SARS2 simplified scores to estimate risk of hospitalization and death among patients with COVID-19

Although models have been developed for predicting severity of COVID-19 from the medical history of patients, simplified models with good accuracy could be more practical. In this study, we examined utility of simpler models for estimating risk of hospitalization of patients with COVID-19 and mortal...

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Bibliographic Details
Published in:	Scientific reports Vol. 11; no. 1; pp. 4945 - 9
Main Authors:	Dashti, Hesam, Roche, Elise C., Bates, David William, Mora, Samia, Demler, Olga
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 02.03.2021 Nature Publishing Group Nature Portfolio
Subjects:	631/114 692/499 Adult Aged Algorithms Cohort Studies Computational Biology - methods Continental Population Groups - statistics & numerical data Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - mortality COVID-19 Testing - methods Decision making Ethnic Groups Female Generalized linear models Hospitalization Hospitalization - statistics & numerical data Humanities and Social Sciences Humans Male Middle Aged Models, Statistical Mortality multidisciplinary Nomograms Risk Factors SARS-CoV-2 - pathogenicity Science Science (multidisciplinary) Severe acute respiratory syndrome coronavirus 2 Severity of Illness Index Smoking Socioeconomics
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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