id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-258812-svw6z4bf	Hu, Haifeng	Early prediction and identification for severe patients during the pandemic of COVID-19: A severe COVID-19 risk model constructed by multivariate logistic regression analysis	2020-09-04		.txt	text/plain	4422	190	43	key: cord-258812-svw6z4bf authors: Hu, Haifeng; Du, Hong; Li, Jing; Wang, Yage; Wu, Xiaoqing; Wang, Chunfu; Zhang, Ye; Zhang, Gufen; Zhao, Yanyan; Kang, Wen; Lian, Jianqi title: Early prediction and identification for severe patients during the pandemic of COVID-19: A severe COVID-19 risk model constructed by multivariate logistic regression analysis date: 2020-09-04 journal: Journal of global health DOI: 10.7189/jogh.10.020510 sha: doc_id: 258812 cord_uid: svw6z4bf BACKGROUND: As an emergent and fulminant infectious disease, Corona Virus Disease 2019 (COVID-19) has caused a worldwide pandemic. The early identification and timely treatment of severe patients are crucial to reducing the mortality of COVID-19.	cache/cord-258812-svw6z4bf.txt	txt/cord-258812-svw6z4bf.txt
