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10.1016/j.jinf.2020.04.034

http://scihub22266oqcxt.onion/10.1016/j.jinf.2020.04.034
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32360881!7192102!32360881
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suck abstract from ncbi


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pmid32360881      J+Infect 2020 ; 81 (2): e1-e5
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  • Environmental contamination of SARS-CoV-2 in healthcare premises #MMPMID32360881
  • Ye G; Lin H; Chen S; Wang S; Zeng Z; Wang W; Zhang S; Rebmann T; Li Y; Pan Z; Yang Z; Wang Y; Wang F; Qian Z; Wang X
  • J Infect 2020[Aug]; 81 (2): e1-e5 PMID32360881show ga
  • OBJECTIVES: A large number of healthcare workers (HCWs) were infected by SARS-CoV-2 during the ongoing outbreak of COVID-19 in Wuhan, China. Hospitals are significant epicenters for the human-to-human transmission of the SARS-CoV-2 for HCWs, patients, and visitors. No data has been reported on the details of hospital environmental contamination status in the epicenter of Wuhan. METHODS: We collected 626 surface swabs within the Zhongnan Medical Center in Wuhan in the mist of the COVID-19 outbreak between February 7 - February 27, 2020. Dacron swabs were aseptically collected from the surfaces of 13 hospital function zones, five major objects, and three major PPE. The SARS-CoV-2 RNAs were detected by reverse transcription-PCR. RESULTS: The most contaminated zones were the intensive care unit specialized for taking care of novel coronavirus pneumonia (NCP) (31.9%), Obstetric Isolation Ward specialized for pregnant women with NCP (28.1%), and Isolation Ward for NCP (19.6%). We classified the 13 zones into four contamination levels. The most contaminated objects were self-service printers (20.0%), desktop/keyboard (16.8%), and doorknob (16.0%). Both hand sanitizer dispensers (20.3%) and gloves (15.4%) were the most contaminated PPE. CONCLUSION: Our findings emphasize the urgent need to ensure adequate environmental cleaning, strengthen infection prevention training, and improve infection prevention among HCWs during the outbreak of COVID-19.
  • |*Betacoronavirus[MESH]
  • |*Environmental Monitoring[MESH]
  • |*Hospitals[MESH]
  • |*Infectious Disease Transmission, Patient-to-Professional/prevention & control/statistics & numerical data[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/epidemiology/prevention & control/*transmission[MESH]
  • |Cross Infection/*transmission[MESH]
  • |Disease Outbreaks/prevention & control/*statistics & numerical data[MESH]
  • |Disinfection[MESH]
  • |Equipment Contamination/prevention & control[MESH]
  • |Humans[MESH]
  • |Intensive Care Units[MESH]
  • |Pandemics/prevention & control[MESH]
  • |Pneumonia, Viral/epidemiology/prevention & control/*transmission[MESH]
  • |Reverse Transcriptase Polymerase Chain Reaction[MESH]


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