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

Authors :
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
Source :
International Journal of Infectious Diseases. May2021, Vol. 106, p363-369. 7p.
Publication Year :
2021

Abstract

• 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
12019712
Volume :
106
Database :
Academic Search Index
Journal :
International Journal of Infectious Diseases
Publication Type :
Academic Journal
Accession number :
150386677
Full Text :
https://doi.org/10.1016/j.ijid.2021.02.058