Cargando…

Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions—A secondary data analysis

INTRODUCTION: The COVID-19 outbreak is posing an unprecedented challenge to healthcare workers. This study analyzes the geo-temporal effects on disease severity for the 1,688 Chinese healthcare workers infected with COVID-19. METHODS: Using the descriptive results recently reported by the Chinese CD...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Wayne, Sanna, Mattia, Tsai, Min Kuang, Wen, Chi Pang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224552/
https://www.ncbi.nlm.nih.gov/pubmed/32407411
http://dx.doi.org/10.1371/journal.pone.0233255
_version_ 1783533924442439680
author Gao, Wayne
Sanna, Mattia
Tsai, Min Kuang
Wen, Chi Pang
author_facet Gao, Wayne
Sanna, Mattia
Tsai, Min Kuang
Wen, Chi Pang
author_sort Gao, Wayne
collection PubMed
description INTRODUCTION: The COVID-19 outbreak is posing an unprecedented challenge to healthcare workers. This study analyzes the geo-temporal effects on disease severity for the 1,688 Chinese healthcare workers infected with COVID-19. METHODS: Using the descriptive results recently reported by the Chinese CDC, we compare the percentage of infected healthcare workers in severe conditions over time and across three areas in China, and the fatality rate of infected healthcare workers with all the infected individuals in China aged 22–59 years. RESULTS: Among the infected Chinese healthcare workers whose symptoms onset appeared during the same ten-day period, the percentage of those in severe conditions decreased significantly from 19.7% (Jan 11–20) to 14.4% (Jan 21–31) to 8.7% (Feb 1–11). Across the country, there was also a significant difference in the disease severity, with Wuhan being the most severe (17.3%), followed by Hubei Province (10.2%), and the rest of China (6.6%). The case fatality rate for the 1,688 infected Chinese healthcare workers was significantly lower than that for the 29,798 infected patients aged 20–59 years—0.3% (5/1,688) vs. 0.65% (193/29,798), respectively. CONCLUSION: The disease severity among infected healthcare workers improved considerably over a short period of time in China. The more severe conditions in Wuhan compared to the rest of the country may be attributable to the draconian lockdown. The clinical outcomes of infected Chinese healthcare workers may represent a more accurate estimation of the severity of COVID-19 for those who have access to quality healthcare.
format Online
Article
Text
id pubmed-7224552
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-72245522020-06-01 Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions—A secondary data analysis Gao, Wayne Sanna, Mattia Tsai, Min Kuang Wen, Chi Pang PLoS One Research Article INTRODUCTION: The COVID-19 outbreak is posing an unprecedented challenge to healthcare workers. This study analyzes the geo-temporal effects on disease severity for the 1,688 Chinese healthcare workers infected with COVID-19. METHODS: Using the descriptive results recently reported by the Chinese CDC, we compare the percentage of infected healthcare workers in severe conditions over time and across three areas in China, and the fatality rate of infected healthcare workers with all the infected individuals in China aged 22–59 years. RESULTS: Among the infected Chinese healthcare workers whose symptoms onset appeared during the same ten-day period, the percentage of those in severe conditions decreased significantly from 19.7% (Jan 11–20) to 14.4% (Jan 21–31) to 8.7% (Feb 1–11). Across the country, there was also a significant difference in the disease severity, with Wuhan being the most severe (17.3%), followed by Hubei Province (10.2%), and the rest of China (6.6%). The case fatality rate for the 1,688 infected Chinese healthcare workers was significantly lower than that for the 29,798 infected patients aged 20–59 years—0.3% (5/1,688) vs. 0.65% (193/29,798), respectively. CONCLUSION: The disease severity among infected healthcare workers improved considerably over a short period of time in China. The more severe conditions in Wuhan compared to the rest of the country may be attributable to the draconian lockdown. The clinical outcomes of infected Chinese healthcare workers may represent a more accurate estimation of the severity of COVID-19 for those who have access to quality healthcare. Public Library of Science 2020-05-14 /pmc/articles/PMC7224552/ /pubmed/32407411 http://dx.doi.org/10.1371/journal.pone.0233255 Text en © 2020 Gao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gao, Wayne
Sanna, Mattia
Tsai, Min Kuang
Wen, Chi Pang
Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions—A secondary data analysis
title Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions—A secondary data analysis
title_full Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions—A secondary data analysis
title_fullStr Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions—A secondary data analysis
title_full_unstemmed Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions—A secondary data analysis
title_short Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions—A secondary data analysis
title_sort geo-temporal distribution of 1,688 chinese healthcare workers infected with covid-19 in severe conditions—a secondary data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224552/
https://www.ncbi.nlm.nih.gov/pubmed/32407411
http://dx.doi.org/10.1371/journal.pone.0233255
work_keys_str_mv AT gaowayne geotemporaldistributionof1688chinesehealthcareworkersinfectedwithcovid19insevereconditionsasecondarydataanalysis
AT sannamattia geotemporaldistributionof1688chinesehealthcareworkersinfectedwithcovid19insevereconditionsasecondarydataanalysis
AT tsaiminkuang geotemporaldistributionof1688chinesehealthcareworkersinfectedwithcovid19insevereconditionsasecondarydataanalysis
AT wenchipang geotemporaldistributionof1688chinesehealthcareworkersinfectedwithcovid19insevereconditionsasecondarydataanalysis