Department of Statistics, Kyungpook National University, Daegu 41566, Korea.
Department of Applied Mathematics, Kyung Hee University, Yongin 17104, Korea.
Int J Environ Res Public Health. 2021 Dec 7;18(24):12893. doi: 10.3390/ijerph182412893.
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 . As a result, a total of 61 clusters with 3088 cases are elucidated. The clusters are categorized into six groups, including religious groups, convalescent homes, and hospitals. The values of Reff and κ of all clusters are estimated to be 2.26 (95% CI: 2.02-2.53) and 0.20 (95% CI: 0.14-0.28), respectively. This indicates strong evidence for the occurrence of superspreading events in Seoul. The religious groups cluster has the largest value of Reff among all clusters, followed by workplaces, schools, and convalescent home clusters. Our results allow us to infer the presence or absence of superspreading events and to understand the cluster-specific characteristics of COVID-19 outbreaks. Therefore, more effective suppression strategies can be implemented to halt the ongoing or future cluster transmissions caused by small and sporadic clusters as well as large superspreading events.
截至 2021 年 10 月,全球已有超过 2.46 亿例确诊病例和 500 万人死亡。超过 200 个国家出现了多起疫情集群,韩国的传播仍在继续。我们旨在分析 2020 年 3 月 4 日至 12 月 4 日期间首尔的 COVID-19 集群。采用分支过程模型来研究集群引起的传播的强度和异质性。我们使用最大似然法估计集群特异性有效繁殖数 Reff 和分散参数 κ。我们还计算了感染期内每个集群大小的平均次要每日病例数 Rm。结果,共阐明了 61 个包含 3088 例病例的集群。这些集群分为六组,包括宗教团体、疗养院和医院。所有集群的 Reff 和 κ 值分别估计为 2.26(95%CI:2.02-2.53)和 0.20(95%CI:0.14-0.28)。这表明在首尔发生超级传播事件的证据确凿。在所有集群中,宗教团体集群的 Reff 值最大,其次是工作场所、学校和疗养院集群。我们的结果可以推断出超级传播事件的存在或不存在,并了解 COVID-19 爆发的集群特异性特征。因此,可以实施更有效的抑制策略,以阻止由小而零星的集群以及大的超级传播事件引起的正在进行或未来的集群传播。