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Analysis of the Infection Status of Healthcare Workers in Wuhan During the COVID-19 Outbreak: A Cross-sectional Study

BACKGROUND: Healthcare workers (HCWs) 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 general information on and infection and death status of HCWs in Wuhan during the COVID-19 outbreak...

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Autores principales: Zheng, Lichun, Wang, Xiang, Zhou, Chongchong, Liu, Qin, Li, Shuang, Sun, Qin, Wang, Mengjia, Zhou, Qian, Wang, Wenmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239233/
https://www.ncbi.nlm.nih.gov/pubmed/32409825
http://dx.doi.org/10.1093/cid/ciaa588
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author Zheng, Lichun
Wang, Xiang
Zhou, Chongchong
Liu, Qin
Li, Shuang
Sun, Qin
Wang, Mengjia
Zhou, Qian
Wang, Wenmei
author_facet Zheng, Lichun
Wang, Xiang
Zhou, Chongchong
Liu, Qin
Li, Shuang
Sun, Qin
Wang, Mengjia
Zhou, Qian
Wang, Wenmei
author_sort Zheng, Lichun
collection PubMed
description BACKGROUND: Healthcare workers (HCWs) 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 general information on and infection and death status of HCWs in Wuhan during the COVID-19 outbreak and completed statistical analyses. RESULTS: We obtained the data on 2457 infected cases among HCWs in Wuhan, China. More than half of the infected individuals were nurses (52.06%), whereas 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 HCWs were female (72.28%). A majority of the infected HCWs (89.26%) came from general hospitals, followed by specialized hospitals (5.70%) and community hospitals (5.05%). The case infection rate of HCWs (2.10%) was dramatically higher than that of non-HCWs (0.43%). The case fatality rate of HCWs (0.69%) was significantly lower than that of non-HCWs (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.
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spelling pubmed-72392332020-05-28 Analysis of the Infection Status of Healthcare Workers in Wuhan During the COVID-19 Outbreak: A Cross-sectional Study Zheng, Lichun Wang, Xiang Zhou, Chongchong Liu, Qin Li, Shuang Sun, Qin Wang, Mengjia Zhou, Qian Wang, Wenmei Clin Infect Dis Articles and Commentaries BACKGROUND: Healthcare workers (HCWs) 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 general information on and infection and death status of HCWs in Wuhan during the COVID-19 outbreak and completed statistical analyses. RESULTS: We obtained the data on 2457 infected cases among HCWs in Wuhan, China. More than half of the infected individuals were nurses (52.06%), whereas 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 HCWs were female (72.28%). A majority of the infected HCWs (89.26%) came from general hospitals, followed by specialized hospitals (5.70%) and community hospitals (5.05%). The case infection rate of HCWs (2.10%) was dramatically higher than that of non-HCWs (0.43%). The case fatality rate of HCWs (0.69%) was significantly lower than that of non-HCWs (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. Oxford University Press 2020-05-15 /pmc/articles/PMC7239233/ /pubmed/32409825 http://dx.doi.org/10.1093/cid/ciaa588 Text en © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Articles and Commentaries
Zheng, Lichun
Wang, Xiang
Zhou, Chongchong
Liu, Qin
Li, Shuang
Sun, Qin
Wang, Mengjia
Zhou, Qian
Wang, Wenmei
Analysis of the Infection Status of Healthcare Workers in Wuhan During the COVID-19 Outbreak: A Cross-sectional Study
title Analysis of the Infection Status of Healthcare Workers in Wuhan During the COVID-19 Outbreak: A Cross-sectional Study
title_full Analysis of the Infection Status of Healthcare Workers in Wuhan During the COVID-19 Outbreak: A Cross-sectional Study
title_fullStr Analysis of the Infection Status of Healthcare Workers in Wuhan During the COVID-19 Outbreak: A Cross-sectional Study
title_full_unstemmed Analysis of the Infection Status of Healthcare Workers in Wuhan During the COVID-19 Outbreak: A Cross-sectional Study
title_short Analysis of the Infection Status of Healthcare Workers in Wuhan During the COVID-19 Outbreak: A Cross-sectional Study
title_sort analysis of the infection status of healthcare workers in wuhan during the covid-19 outbreak: a cross-sectional study
topic Articles and Commentaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239233/
https://www.ncbi.nlm.nih.gov/pubmed/32409825
http://dx.doi.org/10.1093/cid/ciaa588
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