Kim Hee Kyoung, Lim Jun-Sik, Cho Seonghui, Lee Eun Woo, Lee Minje, Kim Dong Wook, Kim Kyungnam, Chiara Achangwa, Lee Sang-Eun, Ryu Sukhyun
Division of Disease Control Capacity Building, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea; Department of Epidemiology and Health Informatics, Graduate School of Public Health, Korea University, Seoul, Republic of Korea.
IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France.
J Infect Public Health. 2025 Aug;18(8):102808. doi: 10.1016/j.jiph.2025.102808. Epub 2025 May 9.
Early during the coronavirus disease 2019 pandemic, the first patients to be identified as the source of infection in the clustered outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were labeled superspreaders in South Korea. However, the extent to which superspreading potential varies across different infection generations remains unclear. This study aims to estimate SARS-CoV-2 superspreading potentials across different infection generations from the largest clustered outbreak of the SARS-CoV-2 wild type in Seoul, South Korea, 2020.
We retrieved the infector-infectee line list data on an outbreak occurred between May 6 and June 5, 2020. To evaluate the superspreading potential (k), we fitted the offspring distributions that had been acquired by counting the number of observed secondary infections for each case and each generation into negative binomial distributions.
The outbreak yielded a k value of 0.18 (95 % confidence interval [CI]: 0.13-0.27) and similar superspreading potentials across the different infection generations. Regarding the superspreading potential in each generation (i.e., individuals' heterogeneity across different generations), k was estimated to be 0.27 (95 % CI: 0.15-0.51), 0.14 (0.03-0.23), 0.10 (0.01-0.17), 0.55 (0.12-5.80 ×10), and 0.19 (0.07-0.73) for the first, second, third, fourth, and fifth or more generations, respectively.
Our findings revealed no significant variations in the superspreading potential of SARS-CoV-2 across cases from different infection generations in the clustered outbreak. Assessing superspreading potential during the epidemic is necessary to refine epidemic modeling and enhance public health understanding of the transmission dynamic of epidemics.
在2019冠状病毒病大流行早期,韩国将在严重急性呼吸综合征冠状病毒2(SARS-CoV-2)聚集性疫情中最早被确定为感染源的患者标记为超级传播者。然而,超级传播潜力在不同感染代之间的差异程度尚不清楚。本研究旨在根据2020年韩国首尔最大规模的SARS-CoV-2野生型聚集性疫情,估算不同感染代的SARS-CoV-2超级传播潜力。
我们检索了2020年5月6日至6月5日期间一次疫情的感染者-被感染者谱系数据。为了评估超级传播潜力(k),我们将通过统计每个病例和每一代观察到的二代感染数量获得的子代分布拟合为负二项分布。
此次疫情的k值为0.18(95%置信区间[CI]:0.13 - 0.27),不同感染代的超级传播潜力相似。关于每一代的超级传播潜力(即不同代个体的异质性),第一代、第二代、第三代、第四代以及第五代及以后的k值分别估计为0.27(95%CI:0.15 - 0.51)、0.14(0.03 - 0.23)、0.10(0.01 - 0.17)、0.55(0.12 - 5.80×10)和0.19(0.07 - 0.73)。
我们的研究结果显示,在聚集性疫情中,SARS-CoV-2在不同感染代病例中的超级传播潜力没有显著差异。在疫情期间评估超级传播潜力对于完善疫情模型和增强公众对疫情传播动态的理解是必要的。