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10.1016/j.ijid.2021.02.058 http://scihub22266oqcxt.onion/10.1016/j.ijid.2021.02.058 33609772!7889017!33609772     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33609772&cmd=llinks): Failed to open stream: HTTP request failed! 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Types of COVID-19 clusters and their relationship with social distancing in the Seoul metropolitan area, South Korea |pdf=|usr=}}{{33609772}} gab.com Text Types of COVID-19 clusters and their relationship with social distancing in the Seoul metropolitan area, South Korea JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33609772 #FOAvip BACKGROUND: The complete contact tracing of coronavirus disease-19 (COVID-19) cases in South Korea allows a unique opportunity to investigate cluster characteristics. This study aimed to investigate all reported COVID-19 clusters in the Seoul metropolitan area from January 23 to September 24, 2020. METHODS: Publicly available COVID-19 data was collected from the Seoul Metropolitan City and Gyeonggi Province. Community clusters with >/=5 cases were characterized by size and duration, categorized using K-means clustering, and the correlation between the types of clusters and the level of social distancing investigated. RESULTS: A total of 134 clusters comprised of 4033 cases were identified. The clusters were categorized into small (type I and II), medium (type III), and large (type IV) clusters. A comparable number of daily reported cases in different time periods were composed of different types of clusters. Increased social distancing was related to a shift from large to small-sized clusters. CONCLUSIONS: Classification of clusters may provide opportunities to understand the pattern of COVID-19 outbreaks better and implement more effective suppression strategies. Social distancing administered by the government may effectively suppress large clusters but may not effectively control small and sporadic clusters. Twit Text FOAVip Types of COVID-19 clusters and their relationship with social distancing in the Seoul metropolitan area, South Korea ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33609772 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33609772 #FOAvip English Wikipedia <ref>{{Cite pmid|33609772}}</ref> Types of COVID-19 clusters and their relationship with social distancing in the Seoul metropolitan area, South Korea #MMPMID33609772 Choi YJ; Park MJ; Park SJ; Hong D; Lee S; Lee KS; Moon S; Cho J; Jang Y; Lee D; Shin A; Hong YC; Lee JK Int J Infect Dis 2021[May]; 106 (ä): 363-369 PMID33609772show ga BACKGROUND: The complete contact tracing of coronavirus disease-19 (COVID-19) cases in South Korea allows a unique opportunity to investigate cluster characteristics. This study aimed to investigate all reported COVID-19 clusters in the Seoul metropolitan area from January 23 to September 24, 2020. METHODS: Publicly available COVID-19 data was collected from the Seoul Metropolitan City and Gyeonggi Province. Community clusters with >/=5 cases were characterized by size and duration, categorized using K-means clustering, and the correlation between the types of clusters and the level of social distancing investigated. RESULTS: A total of 134 clusters comprised of 4033 cases were identified. The clusters were categorized into small (type I and II), medium (type III), and large (type IV) clusters. A comparable number of daily reported cases in different time periods were composed of different types of clusters. Increased social distancing was related to a shift from large to small-sized clusters. CONCLUSIONS: Classification of clusters may provide opportunities to understand the pattern of COVID-19 outbreaks better and implement more effective suppression strategies. Social distancing administered by the government may effectively suppress large clusters but may not effectively control small and sporadic clusters. |*Disease Outbreaks[MESH] |*Physical Distancing[MESH] |COVID-19/*epidemiology/prevention & control[MESH] |Contact Tracing[MESH] |Humans[MESH]Types of COVID-19 clusters and their relationship with social distanci(epmc).pdf DeepDyve Pubget Overpricing