Unknown

Dataset Information

Analysis of Superspreading Potential from Transmission Clusters of COVID-19 in South Korea.


ABSTRACT: The COVID-19 pandemic has been spreading worldwide with more than 246 million confirmed cases and 5 million deaths across more than 200 countries as of October 2021. There have been multiple disease clusters, and transmission in South Korea continues. We aim to analyze COVID-19 clusters in Seoul from 4 March to 4 December 2020. A branching process model is employed to investigate the strength and heterogeneity of cluster-induced transmissions. We estimate the cluster-specific effective reproduction number Reff and the dispersion parameter κ using a maximum likelihood method. We also compute Rm as the mean secondary daily cases during the infection period with a cluster size m. As a result, a total of 61 clusters with 3088 cases are elucidated. The clusters are categorized into six g

SUBMITTER: Lee H 

PROVIDER: S-EPMC8701974 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature