About: SARS-CoV-2 infection in health care workers: a retrospective analysis and a model study

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	SARS-CoV-2 infection in health care workers: a retrospective analysis and a model study
Creator	Wang, Han Wang, Xuan Xu, Shuai Fu, ; Mary, ; Bai, Yansen Fan, Fei Gurarie, David Horn, Ann Huang, Qimin Jiang, Xiaobing Martial Ndeffo-Mbah, ; Mondal, Anirban Zhao, Hongyang
Source	MedRxiv
abstract	Background There had been a preliminary occurrence of human-to-human transmissions between healthcare workers (HCWs), but risk factors in the susceptibility for COVID-19, and infection patterns among HCWs have largely remained unknown. Methods Retrospective data collection on demographics, lifestyles, contact status with infected subjects for 118 HCWs (include 12 COVID-19 HCWs) from a single-center. Sleep quality and working pressure were evaluated by Pittsburgh Sleep Quality Index (PSQI) and The Nurse Stress Index (NSI), respectively. Follow-up duration was from Dec 25, 2019, to Feb 15, 2020. Risk factors and transmission models of COVID-19 among HCWs were analyzed and constructed. Findings A high proportion of COVID-19 HCWs had engaged in night shift-work (75.0% vs. 40.6%) and felt they were working under pressure (66.7% vs. 32.1%) than uninfected HCWs. COVID-19 HCWs had higher total scores of PSQI and NSI than uninfected HCWs. Furthermore, these scores were both positively associated with COVID-19 risk. An individual-based model (IBM) estimated the outbreak duration among HCWs in a non-typical COVID-19 ward at 62-80 days and the basic reproduction number =1.27 [1.06, 1.61]. By reducing the average contact rate per HCW by a 1.35 factor and susceptibility by a 1.40 factor, we can avoid an outbreak of the basic case among HCWs. Interpretation Poor sleep quality and high working pressure were positively associated with high risks of COVID-19. A novel IBM of COVID-19 transmission is suitable for simulating different outbreak patterns in a hospital setting.
has issue date	2020-04-01(xsd:dateTime)
bibo:doi	10.1101/2020.03.29.20047159
has license	medrxiv
sha1sum (hex)	eb7f316a641355381641aa6fc032965f053261fd
schema:url	https://doi.org/10.1101/2020.03.29.20047159
resource representing a document's title	SARS-CoV-2 infection in health care workers: a retrospective analysis and a model study
resource representing a document's body	covid:eb7f316a641355381641aa6fc032965f053261fd#body_text
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