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10.1002/jmv.26511

http://scihub22266oqcxt.onion/10.1002/jmv.26511
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32926439!?!32926439

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suck abstract from ncbi

pmid32926439      J+Med+Virol 2021 ; 93 (3): 1631-1638
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  • Clinical characteristics of 132 healthcare worker cases with COVID-19: A retrospective study from a single center in Wuhan, China #MMPMID32926439
  • Chen T; Li G; Liu H; Wan W; Zheng H; Chen C
  • J Med Virol 2021[Mar]; 93 (3): 1631-1638 PMID32926439show ga
  • Many healthcare workers (HCWs) have been confirmed to be infected with SARS-CoV-2 in China. A retrospective, single-center study was conducted. The median age of the 132 HCWs with COVID-19 was 32 years, with 92 (69.7%) being females. There were 47 (35.6%) doctors, 72 (54.6%) nurses, and 13 (9.9%) other HCWs. Ten of the 132 patients (7.6%) had underlying diseases. The most common symptoms of illness onset were fever (70, 53.0%), cough (66, 50.0%), and fatigue (58, 43.9%). All patients were categorized into mild or moderate COVID-19 type on admission to hospital, and five (3.8%) progressed to the severe COVID-19 type. Sixty-six HCWs patients were included in both the early and later discharged group. In the logistic analysis, the later discharged patients had a longer time for illness onset to hospital admission (per 1 day; OR, 1.10; 95% CI, 1.03-1.18; p = .006), a higher proportion of >3 onset symptoms clustering (OR, 3.11; 95% CI, 1.27-7.62; p = .01), and a higher percentage of other HCWs (OR, 6.20; 95% CI, 1.49-25.80; p = .01). HCW patients were young female nurses with fewer comorbidities, and most were mild or moderate COVID-19 type. The later discharged patients exhibited characteristics of longer time for illness onset to hospitalization and clustering of onset symptoms.
  • |Adult[MESH]
  • |COVID-19/*epidemiology/*pathology/virology[MESH]
  • |China/epidemiology[MESH]
  • |Comorbidity[MESH]
  • |Cough/epidemiology/pathology/virology[MESH]
  • |Female[MESH]
  • |Fever/epidemiology/pathology/virology[MESH]
  • |Health Personnel/*statistics & numerical data[MESH]
  • |Hospitalization/statistics & numerical data[MESH]
  • |Hospitals/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Patient Discharge/statistics & numerical data[MESH]
  • |Retrospective Studies[MESH]


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