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Rapid transmission of coronavirus disease 2019 within a religious sect in South Korea: A mathematical modeling study.
Kim, Jong-Hoon; Lee, Hyojung; Won, Yong Sul; Son, Woo-Sik; Im, Justin.
  • Kim JH; International Vaccine Institute, Seoul, South Korea. Electronic address: jonghoon.kim@ivi.int.
  • Lee H; Department of Statistics, Kyungpook National University, Daegu, South Korea; National Institute for Mathematical Sciences, Daejeon, South Korea.
  • Won YS; National Institute for Mathematical Sciences, Daejeon, South Korea.
  • Son WS; National Institute for Mathematical Sciences, Daejeon, South Korea.
  • Im J; International Vaccine Institute, Seoul, South Korea.
Epidemics ; 37: 100519, 2021 12.
Article in English | MEDLINE | ID: covidwho-1487716
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ABSTRACT
Rapid transmission of coronavirus disease 2019 (COVID-19) was observed in the Shincheonji Church of Jesus, a religious sect in South Korea. The index case was confirmed on February 18, 2020 in Daegu City, and within two weeks, 3081 connected cases were identified. Doubling times during these initial stages (i.e., February 18 - March 2) of the outbreak were less than 2 days. A stochastic model fitted to the time series of confirmed cases suggests that the basic reproduction number (R0) of COVID-19 was 8.5 [95% credible interval (CrI) 6.3, 10.9] among the church members, whereas (R0 = 1.9 [95% CrI 0.4, 4.4]) in the rest of the population of Daegu City. The model also suggests that there were already 4 [95% CrI 2, 11] undetected cases of COVID-19 on February 7 when the index case reportedly presented symptoms. The Shincheonji Church cluster is likely to be emblematic of other outbreak-prone populations where R0 of COVID-19 is higher. Understanding and subsequently limiting the risk of transmission in such high-risk places is key to effective control.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Epidemics Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Epidemics Year: 2021 Document Type: Article