About: Analysis of the infection status of the health care workers in Wuhan during the COVID-19 outbreak: A cross-sectional study

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Analysis of the infection status of the health care workers in Wuhan during the COVID-19 outbreak: A cross-sectional study 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	Analysis of the infection status of the health care workers in Wuhan during the COVID-19 outbreak: A cross-sectional study
Creator	Li, Shuang Wang, Xiang Liu, Qin Sun, Qin Wang, Wang, Mengjia Wang, Wenmei Zheng, Lichun Zhou, Chongchong Zhou, Qian
Source	Medline; PMC
abstract	BACKGROUND: Health care workers at the frontline are facing a substantial risk of infection during the coronavirus disease 2019 (COVID-19) outbreak. METHODS: We acquired information and data on the general information, infection and death status of health care workers in Wuhan during the COVID-19 outbreak and completed statistical analyses. RESULTS: We have obtained the data on 2,457 infected cases among health care workers in Wuhan, China. More than half of the infected individuals were nurses (52.06%), while 33.62% of infected cases were doctors and 14.33% of cases were medical staff. In particular, the case infection rate of nurses (2.22%) was remarkably higher than that of doctors (1.92%). Most infected cases among health care workers were female (72.28%). A majority of the infected health care workers (89.26%) came from general hospitals, followed by specialized hospitals (5.70%) and community hospitals (5.05%). The case infection rate of health care workers (2.10%) was dramatically higher than that of non-health care workers (0.43%). The case fatality rate of health care workers (0.69%) was significantly lower than that of non-health care workers (5.30%). CONCLUSIONS: The infection risk of HCWs is clearly higher than that of non-HCWs. HCWs play an essential role in fighting the pandemic. The analysis of the infection status of HCWs is essential to attract enough attention from the public, provide effective suggestions for government agencies and improve protective measures for HCWs.
has issue date	2020-05-15(xsd:dateTime)
bibo:doi	10.1093/cid/ciaa588
bibo:pmid	32409825
has license	cc-by-nc-nd
sha1sum (hex)	2db7951e1d0a5f8f37b68f1f45ccb40e3a237b98
schema:url	https://doi.org/10.1093/cid/ciaa588
resource representing a document's title	Analysis of the infection status of the health care workers in Wuhan during the COVID-19 outbreak: A cross-sectional study
has PubMed Central identifier	PMC7239233
has PubMed identifier	32409825
schema:publication	Clin Infect Dis
resource representing a document's body	covid:2db7951e1d0a5f8f37b68f1f45ccb40e3a237b98#body_text
is schema:about of	named entity 'infection' named entity 'data' named entity 'health care workers' named entity 'cross-sectional study' named entity 'DEATH' named entity 'infection' named entity 'care workers' named entity 'outbreak' named entity 'Health care' named entity 'coronavirus disease 2019' named entity 'Health care workers' named entity 'COVID-19 outbreak' named entity 'health care workers' named entity 'COVID-19 outbreak' named entity 'COVID-19' named entity 'SARS-CoV-2' named entity 'cross infection' named entity 'COVID' named entity 'China' named entity 'SPSS' named entity 'COVID' named entity 'general hospitals' named entity 'CDC' named entity 'SARS-CoV-2' named entity 'human lives' named entity 'World Health Organization' named entity 'COVID-19 pandemic' named entity 'COVID' named entity 'COVID-19 pandemic' named entity 'COVID-19' named entity 'infection status' named entity 'coronavirus outbreak' named entity 'fever' named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'Wuhan' named entity 'COVID' named entity 'health care workers' named entity 'SARS-CoV-2' named entity 'COVID-19 outbreak' named entity 'low lymphocyte count' named entity 'infection status' named entity 'medical treatment' named entity 'Wuhan' named entity 'data analysis' named entity 'National Health Commission of China' named entity 'Leishenshan' named entity 'Noah's Ark' named entity 'infection' named entity 'COVID-19' named entity 'CFR' named entity 'virus' named entity 'tested positive' named entity 'CFR' named entity 'type I error' named entity 'Wuhan' named entity 'National Health Commission of China' named entity 'general hospitals' named entity 'Wuhan' named entity 'COVID' named entity 'statistically significant' named entity 'coronavirus disease 2019' named entity 'Wuhan' named entity 'COVID-19 outbreak' named entity 'pneumonia' named entity 'quarantine' named entity 'COVID' named entity 'Wuhan' named entity 'Wuhan' named entity 'SARS-CoV-2' named entity 'virus' named entity 'severe acute respiratory syndrome'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software