Types of COVID-19 clusters and their relationship with social distancing in the Seoul metropolitan area, South Korea

•All the reported COVID-19 clusters were identified and categorized in South Korea.•COVID-19 clusters are categorized into large, medium, and small clusters.•Cluster distributions are correlated with the government’s social distancing measures. The complete contact tracing of coronavirus disease-19...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of infectious diseases 2021-05, Vol.106, p.363-369
Hauptverfasser: Choi, Yoon-Jung, Park, Mi-jeong, Park, Soo Jin, Hong, Dongui, Lee, Sohyae, Lee, Kyung-Shin, Moon, Sungji, Cho, Jinwoo, Jang, Yoonyoung, Lee, Dongwook, Shin, Aesun, Hong, Yun-Chul, Lee, Jong-Koo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•All the reported COVID-19 clusters were identified and categorized in South Korea.•COVID-19 clusters are categorized into large, medium, and small clusters.•Cluster distributions are correlated with the government’s social distancing measures. 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. 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. 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. 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.
ISSN:1201-9712
1878-3511
DOI:10.1016/j.ijid.2021.02.058