A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic

Nosocomial infections caused by COVID-19 will result in the immediate closure of the infected medical facility due to the highly contagious nature of COVID-19, further worsening medical shortages. We performed a Delphi consulting study to develop a risk model based on the experience of recently resu...

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Detalles Bibliográficos
Autores principales: Tang, Zaixiang, Sun, Bei, Xu, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184945/
https://www.ncbi.nlm.nih.gov/pubmed/32342200
http://dx.doi.org/10.1007/s00432-020-03235-5
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author Tang, Zaixiang
Sun, Bei
Xu, Bo
author_facet Tang, Zaixiang
Sun, Bei
Xu, Bo
author_sort Tang, Zaixiang
collection PubMed
description Nosocomial infections caused by COVID-19 will result in the immediate closure of the infected medical facility due to the highly contagious nature of COVID-19, further worsening medical shortages. We performed a Delphi consulting study to develop a risk model based on the experience of recently resumed activities in many cancer hospitals in China. Similar method had been used in a Chinese cancer hospital and effectively reduced the nosocomial Infection. We believe that the model can quickly identify COVID-19 cluster risks for medical facilities. The evaluation model could also be integrated into the hospital’s emergency response system in a timely manner.
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spelling pubmed-71849452020-04-27 A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic Tang, Zaixiang Sun, Bei Xu, Bo J Cancer Res Clin Oncol Letter to the Editor Nosocomial infections caused by COVID-19 will result in the immediate closure of the infected medical facility due to the highly contagious nature of COVID-19, further worsening medical shortages. We performed a Delphi consulting study to develop a risk model based on the experience of recently resumed activities in many cancer hospitals in China. Similar method had been used in a Chinese cancer hospital and effectively reduced the nosocomial Infection. We believe that the model can quickly identify COVID-19 cluster risks for medical facilities. The evaluation model could also be integrated into the hospital’s emergency response system in a timely manner. Springer Berlin Heidelberg 2020-04-27 2020 /pmc/articles/PMC7184945/ /pubmed/32342200 http://dx.doi.org/10.1007/s00432-020-03235-5 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Letter to the Editor
Tang, Zaixiang
Sun, Bei
Xu, Bo
A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic
title A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic
title_full A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic
title_fullStr A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic
title_full_unstemmed A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic
title_short A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic
title_sort quick evaluation method of nosocomial infection risk for cancer hospitals during the covid-19 pandemic
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184945/
https://www.ncbi.nlm.nih.gov/pubmed/32342200
http://dx.doi.org/10.1007/s00432-020-03235-5
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