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10.3760/cma.j.cn112338-20200223-00153

http://scihub22266oqcxt.onion/10.3760/cma.j.cn112338-20200223-00153
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32145716!ä!32145716

suck abstract from ncbi


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pmid32145716      Zhonghua+Liu+Xing+Bing+Xue+Za+Zhi 2020 ; 41 (5): 623-628
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  • The preliminary analysis on the characteristics of the cluster for the COVID-19 #MMPMID32145716
  • Yang HY; Xu J; Li Y; Liang X; Jin YF; Chen SY; Zhang RG; Zhang WD; Duan GC
  • Zhonghua Liu Xing Bing Xue Za Zhi 2020[May]; 41 (5): 623-628 PMID32145716show ga
  • Since December 2019, COVID-19, a new emerging infection disease, has spread in 27 countries and regions. The clusters of many cases were reported with the epidemic progresses. We collected currently available information for 377 COVID-19 clusters (1 719 cases), excluded the hospital clusters and Hubei cases, during the period from January 1 to February 20, 2020. There were 297 family clusters (79%), case median was 4; 39 clusters of dining (10%), case median was 5; 23 clusters of shopping malls or supermarkets (6%), case median was 13; 12 clusters of work units (3%), case median was 6, and 6 clusters of transportation. We selected 325 cases to estimate the incubation period and its range was 1 to 20 days, median was 7 days, and mode was 4 days. The analysis of the epidemic situation in a department store in China indicated that there was a possibility of patients as the source of infection during the incubation period of the epidemic. From February 5 to 21, 2020, 634 persons were infected on the Diamond Princess Liner. All persons are susceptible to the 2019 coronavirus. Age, patients during the incubation period and the worse environment might be the cause of the cases rising. The progress of the two typical outbreaks clearly demonstrated the spread of the early cases in Wuhan. In conclusion, screening and isolating close contacts remained essential other than clinical treatment during the epidemic. Especially for the healthy people in the epidemic area, isolation was the key.
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Cluster Analysis[MESH]
  • |Coronavirus Infections/*epidemiology[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]


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