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10.1007/s00432-020-03235-5

http://scihub22266oqcxt.onion/10.1007/s00432-020-03235-5
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32342200!7184945!32342200
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suck abstract from ncbi


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pmid32342200      J+Cancer+Res+Clin+Oncol 2020 ; 146 (7): 1891-1892
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  • A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic #MMPMID32342200
  • Tang Z; Sun B; Xu B
  • J Cancer Res Clin Oncol 2020[Jul]; 146 (7): 1891-1892 PMID32342200show ga
  • 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.
  • |Betacoronavirus/*isolation & purification[MESH]
  • |COVID-19[MESH]
  • |Cancer Care Facilities/*organization & administration[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*epidemiology/virology[MESH]
  • |Cross Infection/*epidemiology/virology[MESH]
  • |Delphi Technique[MESH]
  • |Disease Outbreaks/prevention & control[MESH]
  • |Evaluation Studies as Topic[MESH]
  • |Humans[MESH]
  • |Models, Theoretical[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*epidemiology/virology[MESH]
  • |Risk Factors[MESH]


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