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10.1016/j.resinv.2020.11.008

http://scihub22266oqcxt.onion/10.1016/j.resinv.2020.11.008
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33461939!7775652!33461939
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suck abstract from ncbi


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pmid33461939      Respir+Investig 2021 ; 59 (2): 180-186
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  • Characteristics of COVID-19 patients admitted into two hospitals in sapporo, Japan: Analyses and insights from two outbreak waves #MMPMID33461939
  • Hattori T; Saito A; Chiba H; Kuronuma K; Amishima M; Morinaga D; Shichinohe Y; Nasuhara Y; Konno S
  • Respir Investig 2021[Mar]; 59 (2): 180-186 PMID33461939show ga
  • BACKGROUND: Coronavirus disease (COVID-19) emerged in January 2020 in Sapporo city, and the outbreak has shown two peaks. METHODS: A total of 260 COVID-19 patients were enrolled and categorized into three groups according to the pandemic pattern, jobs and situation, and disease severity. We compared clinical characteristics according to these categories. RESULTS: We found two pandemic peaks, and the proportion of patients and health providers who were infected in other hospitals had increased in the latter two periods (period 2: 49.6%, period 3: 32.7%). Particularly, the proportion of infected health providers was 27% in period 2, and they tended to be younger females with a mild condition. Severity of the disease (requirement of oxygen and/or mechanical ventilation) was associated with advanced age, and all the patients who died during admission were over 60 years old. CONCLUSIONS: We reported the temporal dynamics and characteristics of the COVID-19 pandemic in Sapporo city, Japan. This survey from the viewpoint of the hospital provides a new insight into and a better guide for the further management of the COVID-19 pandemic.
  • |*Disease Outbreaks[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |COVID-19/*epidemiology/mortality[MESH]
  • |Child[MESH]
  • |Female[MESH]
  • |Hospitals/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Japan/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Severity of Illness Index[MESH]
  • |Sex Factors[MESH]
  • |Time Factors[MESH]


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