Unknown

Dataset Information

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

SUBMITTER: Choi YJ 

PROVIDER: S-EPMC7889017 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature