Article ; Online: Types of COVID-19 clusters and their relationship with social distancing in the Seoul metropolitan area, South Korea.
2021 Volume 106, Page(s) 363–369
Abstract: ... 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 ... Background: The complete contact tracing of coronavirus disease-19 (COVID-19) cases in South Korea ...
| 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 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. |
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| MeSH term(s) | COVID-19/epidemiology ; COVID-19/prevention & control ; Contact Tracing ; Disease Outbreaks ; Humans ; Physical Distancing ; Seoul/epidemiology | |||||
| Language | English | |||||
| Publishing date | 2021-02-17 | |||||
| Publishing country | Canada | |||||
| Document type | Journal Article | |||||
| ZDB-ID | 1331197-9 | |||||
| ISSN | 1878-3511 ; 1201-9712 | |||||
| ISSN (online) | 1878-3511 | |||||
| ISSN | 1201-9712 | |||||
| DOI | 10.1016/j.ijid.2021.02.058 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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