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Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea

BACKGROUND: After relaxing social distancing measures, South Korea experienced a resurgent second epidemic wave of coronavirus disease 2019 (COVID-19). In this study, we aimed to identify the transmission dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and assess...

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Autores principales: Ryu, Sukhyun, Ali, Sheikh Taslim, Noh, Eunbi, Kim, Dasom, Lau, Eric H. Y., Cowling, Benjamin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154110/
https://www.ncbi.nlm.nih.gov/pubmed/34039296
http://dx.doi.org/10.1186/s12879-021-06204-6
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author Ryu, Sukhyun
Ali, Sheikh Taslim
Noh, Eunbi
Kim, Dasom
Lau, Eric H. Y.
Cowling, Benjamin J.
author_facet Ryu, Sukhyun
Ali, Sheikh Taslim
Noh, Eunbi
Kim, Dasom
Lau, Eric H. Y.
Cowling, Benjamin J.
author_sort Ryu, Sukhyun
collection PubMed
description BACKGROUND: After relaxing social distancing measures, South Korea experienced a resurgent second epidemic wave of coronavirus disease 2019 (COVID-19). In this study, we aimed to identify the transmission dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and assess the impact of COVID-19 case finding and contact tracing in each epidemic wave. METHODS: We collected data on COVID-19 cases published by local public health authorities in South Korea and divided the study into two epidemic periods (19 January–19 April 2020 for the first epidemic wave and 20 April–11 August 2020 for the second epidemic wave). To identify changes in the transmissibility of SARS-CoV-2, the daily effective reproductive number (R(t)) was estimated using the illness onset of the cases. Furthermore, to identify the characteristics of each epidemic wave, frequencies of cluster types were measured, and age-specific transmission probability matrices and serial intervals were estimated. The proportion of asymptomatic cases and cases with unknown sources of infection were also estimated to assess the changes of infections identified as cases in each wave. RESULTS: In early May 2020, within 2-weeks of a relaxation in strict social distancing measures, R(t) increased rapidly from 0.2 to 1.8 within a week and was around 1 until early July 2020. In both epidemic waves, the most frequent cluster types were religious-related activities and transmissions among the same age were more common. Furthermore, children were rarely infectors or infectees, and the mean serial intervals were similar (~ 3 days) in both waves. The proportion of asymptomatic cases at presentation increased from 22% (in the first wave) to 27% (in the second wave), while the cases with unknown sources of infection were similar in both waves (22 and 24%, respectively). CONCLUSIONS: Our study shows that relaxing social distancing measures was associated with increased SARS-CoV-2 transmission despite rigorous case findings in South Korea. Along with social distancing measures, the enhanced contact tracing including asymptomatic cases could be an efficient approach to control further epidemic waves. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06204-6.
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spelling pubmed-81541102021-05-28 Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea Ryu, Sukhyun Ali, Sheikh Taslim Noh, Eunbi Kim, Dasom Lau, Eric H. Y. Cowling, Benjamin J. BMC Infect Dis Research BACKGROUND: After relaxing social distancing measures, South Korea experienced a resurgent second epidemic wave of coronavirus disease 2019 (COVID-19). In this study, we aimed to identify the transmission dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and assess the impact of COVID-19 case finding and contact tracing in each epidemic wave. METHODS: We collected data on COVID-19 cases published by local public health authorities in South Korea and divided the study into two epidemic periods (19 January–19 April 2020 for the first epidemic wave and 20 April–11 August 2020 for the second epidemic wave). To identify changes in the transmissibility of SARS-CoV-2, the daily effective reproductive number (R(t)) was estimated using the illness onset of the cases. Furthermore, to identify the characteristics of each epidemic wave, frequencies of cluster types were measured, and age-specific transmission probability matrices and serial intervals were estimated. The proportion of asymptomatic cases and cases with unknown sources of infection were also estimated to assess the changes of infections identified as cases in each wave. RESULTS: In early May 2020, within 2-weeks of a relaxation in strict social distancing measures, R(t) increased rapidly from 0.2 to 1.8 within a week and was around 1 until early July 2020. In both epidemic waves, the most frequent cluster types were religious-related activities and transmissions among the same age were more common. Furthermore, children were rarely infectors or infectees, and the mean serial intervals were similar (~ 3 days) in both waves. The proportion of asymptomatic cases at presentation increased from 22% (in the first wave) to 27% (in the second wave), while the cases with unknown sources of infection were similar in both waves (22 and 24%, respectively). CONCLUSIONS: Our study shows that relaxing social distancing measures was associated with increased SARS-CoV-2 transmission despite rigorous case findings in South Korea. Along with social distancing measures, the enhanced contact tracing including asymptomatic cases could be an efficient approach to control further epidemic waves. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06204-6. BioMed Central 2021-05-26 /pmc/articles/PMC8154110/ /pubmed/34039296 http://dx.doi.org/10.1186/s12879-021-06204-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ryu, Sukhyun
Ali, Sheikh Taslim
Noh, Eunbi
Kim, Dasom
Lau, Eric H. Y.
Cowling, Benjamin J.
Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea
title Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea
title_full Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea
title_fullStr Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea
title_full_unstemmed Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea
title_short Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea
title_sort transmission dynamics and control of two epidemic waves of sars-cov-2 in south korea
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154110/
https://www.ncbi.nlm.nih.gov/pubmed/34039296
http://dx.doi.org/10.1186/s12879-021-06204-6
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