作者: Yoon-Jung Choi , Mi-jeong Park , Soo Jin Park , Dongui Hong , Sohyae Lee
DOI: 10.1016/J.IJID.2021.02.058
关键词:
摘要: Abstract 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 all reported COVID-19 clusters the Seoul metropolitan area from January 23 September 24, 2020. Methods Publicly available data was collected Metropolitan City and Gyeonggi Province. Community with ≥5 were characterized by size duration, categorized using K-means clustering, correlation between types level social distancing investigated. Results A total 134 comprised 4033 identified. into small (type I II), medium III), large IV) clusters. comparable number daily different time periods composed Increased related shift small-sized Conclusions Classification may provide opportunities understand pattern outbreaks better implement more effective suppression strategies. Social administered government effectively suppress but not control sporadic