SARS-CoV-2 infection in health care workers: a retrospective analysis and model study
SARS-CoV-2 infection in health care workers: a retrospective analysis and model study
ABSTRACT BackgroundThere 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. MethodsRetrospective 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. FindingsA 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 R0 =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. InterpretationPoor 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. FundingFundamental Research Funds for the Central Universities
Ndeffo-Mbah Martial、Zhao Hongyang、Bai Yansen、Wang Han、Jiang Xiaobing、Huang Qimin、Horn Mary Ann、Wang Xuan、Gurarie David、Fu Peng、Mondal Anirban、Xu Shuai、Fan Fei
Department of Veterinary and Integrative Biosciences, College of Veterinary and Biomedical Sciences, Texas A&M University, College Station||School of Public Health, Texas A&M University, College StationDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Biochemistry, Case Western Reserve UniversityDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Mathematics, Applied Mathematics and Statistics, Case Western Reserve UniversityDepartment of Mathematics, Applied Mathematics and Statistics, Case Western Reserve UniversityDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University||Center for Global Health and Diseases, School of Medicine, Case Western Reserve UniversityDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Mathematics, Applied Mathematics and Statistics, Case Western Reserve UniversityComputer and Data Science Department, Case Western Reserve UniversityDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
医学研究方法预防医学临床医学
Ndeffo-Mbah Martial,Zhao Hongyang,Bai Yansen,Wang Han,Jiang Xiaobing,Huang Qimin,Horn Mary Ann,Wang Xuan,Gurarie David,Fu Peng,Mondal Anirban,Xu Shuai,Fan Fei.SARS-CoV-2 infection in health care workers: a retrospective analysis and model study[EB/OL].(2025-03-28)[2025-04-30].https://www.medrxiv.org/content/10.1101/2020.03.29.20047159.点此复制
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