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Epidemiology of and Risk Factors for COVID-19 Infection among Health Care Workers: A Multi-Centre Comparative Study

Jia-Te Wei, Zhi-Dong Liu, Zheng-Wei Fan, Lin Zhao, Wu-Chun Cao

2020International Journal of Environmental Research and Public Health54 citationsDOIOpen Access PDF

Abstract

Healthcare workers (HCWs) worldwide are putting themselves at high risks of coronavirus disease 2019 (COVID-19) by treating a large number of patients while lacking protective equipment. We aim to provide a scientific basis for preventing and controlling the COVID-19 infection among HCWs. We used data on COVID-19 cases in the city of Wuhan to compare epidemiological characteristics between HCWs and non-HCWs and explored the risk factors for infection and deterioration among HCWs based on hospital settings. The attack rate (AR) of HCWs in the hospital can reach up to 11.9% in Wuhan. The time interval from symptom onset to diagnosis in HCWs and non-HCWs dropped rapidly over time. From mid-January, the median time interval of HCW cases was significantly shorter than in non-HCW cases. Cases of HCWs and non-HCWs both clustered in northwestern urban districts rather than in rural districts. HCWs working in county-level hospitals in high-risk areas were more vulnerable to COVID-19. HCW cases working in general, ophthalmology, and respiratory departments were prone to deteriorate compared with cases working in the infection department. The AR of COVID-19 in HCWs are higher than in non-HCWs. Multiple factors in hospital settings may play important roles in the transmission of COVID-19. Effective measures should be enhanced to prevent HCWs from COVID-19 infection.

Topics & Concepts

MedicineEpidemiologyCoronavirus disease 2019 (COVID-19)Health careInfection controlTransmission (telecommunications)Emergency medicineRisk of infectionPersonal protective equipmentSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Environmental healthMedical emergencyDiseaseInfectious disease (medical specialty)Intensive care medicineInternal medicineEconomicsEconomic growthElectrical engineeringEngineeringGeneticsBiologyCOVID-19 epidemiological studiesCOVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research