About: Epidemiological, clinical, and virological characteristics of 465 hospitalized cases of coronavirus disease 2019 (COVID‐19) from Zhejiang province in China

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About: Epidemiological, clinical, and virological characteristics of 465 hospitalized cases of coronavirus disease 2019 (COVID‐19) from Zhejiang province in China Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Epidemiological, clinical, and virological characteristics of 465 hospitalized cases of coronavirus disease 2019 (COVID‐19) from Zhejiang province in China
Creator	Wang, Xiaoyan Li, Lanjuan Sheng, Jifang Hao, Jia Jia, Hongyu Hao, Shaorui Hu, Jianhua Yang, Yida Liang, Tingbo Lian, Jiangshan Lu, Yingfeng Xiang, Dairong Zhang, \| Cai, Huan Gu, Jueqing Ye, Chanyuan Zhang, Shanyan Xi, \| Lian, Jin Ciliang, \| Guodong, \| Lin Zheng, \| Xiaopeng, \|
Source	Medline; PMC
abstract	BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) and the associated coronavirus disease (COVID‐19) have spread throughout China. Previous studies predominantly focused on its place of origin, Wuhan, causing over estimation of the disease severity due to selection bias. We analyzed 465 confirmed cases in Zhejiang province to determine the epidemiological, clinical, and virological characteristics of COVID‐19. METHODS: Epidemiological, demographic, clinical, laboratory, and management data from qRT‐PCR confirmed COVID‐19 patients from January 17, 2020, to January 31, 2020, were collected, followed by multivariate logistic regression analysis for independent predictors of severe/critical‐type COVID‐19 and bioinformatic analysis for features of SARS‐CoV‐2 from Zhejiang province. RESULTS: Among 465 COVID‐19 patients, median age was 45 years, while hypertension, diabetes, and chronic liver disease were the most common comorbidities. History of exposure to the epidemic area was present in 170 (36.56%) and 185 (39.78%) patients were clustered in 77 families. Severe/critical‐type of COVID‐19 developed in 49 (10.54%) patients. Fever and cough were the most common symptoms, while diarrhea/vomiting was reported in 58 (12.47%) patients. Multivariate analysis revealed eight risk factors for severe/critical COVID‐19. Glucocorticoids and antibiotics were administered to 60 (12.90%) and 218(46.88%) patients, respectively. Bioinformatics showed four single amino acid mutations and one amino acid position loss in SARS‐CoV‐2 from Zhejiang province, with more similarity to humans than to viruses. CONCLUSIONS: SARS‐CoV‐2 showed virological mutations and more human transmission in Zhejiang province, indicating considerable epidemiological and clinical changes. Caution in glucocorticoid and antibiotics use is advisable.
has issue date	2020-05-19(xsd:dateTime)
bibo:doi	10.1111/irv.12758
bibo:pmid	32397011
has license	cc-by
sha1sum (hex)	65094a351d65e11955da143b430f92bf9823eaf2
schema:url	https://doi.org/10.1111/irv.12758
resource representing a document's title	Epidemiological, clinical, and virological characteristics of 465 hospitalized cases of coronavirus disease 2019 (COVID‐19) from Zhejiang province in China
has PubMed Central identifier	PMC7273099
has PubMed identifier	32397011
schema:publication	Influenza Other Respir Viruses
resource representing a document's body	covid:65094a351d65e11955da143b430f92bf9823eaf2#body_text
is schema:about of	named entity 'Epidemiological' named entity 'CHINA' named entity 'severe acute respiratory syndrome coronavirus 2' named entity 'virological' named entity 'molecular mechanic' named entity 'COVID' named entity 'protein' named entity 'throat swab' named entity 'chest radiography' named entity 'Zhejiang' named entity 'respiratory tract' named entity 'public health' named entity 'drastic measures' named entity 'protein' named entity 'CDC' named entity 'amino acid' named entity 'radiography' named entity 'fever' named entity 'SARS-CoV-2' named entity 'transport medium' named entity 'symptoms and signs' named entity 'Zhejiang Province' named entity 'SARS-CoV-2' named entity 'virulence' named entity 'angiotensin-converting enzyme 2' named entity 'Zhejiang' named entity 'MERS-CoV' named entity 'Wuhan' named entity 'regression analysis' named entity 'protein' named entity 'Prof.' named entity 'SARS-CoV-2' named entity 'Wuhan' named entity 'infection' named entity 'H1N1' named entity 'pneumonia' named entity 'protein' named entity 'sputum' named entity 'fungi' named entity 'dyspnea' named entity 'viruses' named entity 'NGDC' named entity 'Zhejiang' named entity '2.2' named entity 'WHO' named entity 'viral genome' named entity 'COVID-19' named entity 'coronavirus' named entity 'antibiotics' named entity 'gene' named entity 'Wuhan' named entity 'influenza B virus' named entity 'Wuhan' named entity 'Wuhan' named entity 'procalcitonin' named entity 'COVID' named entity 'January 23' named entity 'real-time RT-PCR' named entity 'SARS-CoV-2'

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