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

TitleTransmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea
Authors
KeywordsCOVID-19
SARS-CoV-2
Transmission
Epidemiology
Social distancing measure
Issue Date2021
PublisherBioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmcinfectdis/
Citation
BMC Infectious Diseases, 2021, v. 21, p. article no. 485 How to Cite?
AbstractBackground: 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 (Rt) 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, Rt 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 25%, 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.
Persistent Identifierhttp://hdl.handle.net/10722/300989
ISSN
2021 Impact Factor: 3.667
2020 SCImago Journal Rankings: 1.278
PubMed Central ID
ISI Accession Number ID
Errata

 

DC FieldValueLanguage
dc.contributor.authorRyu, S-
dc.contributor.authorAli, ST-
dc.contributor.authorNoh, E-
dc.contributor.authorKim, D-
dc.contributor.authorLau, EHY-
dc.contributor.authorCowling, BJ-
dc.date.accessioned2021-07-06T03:13:00Z-
dc.date.available2021-07-06T03:13:00Z-
dc.date.issued2021-
dc.identifier.citationBMC Infectious Diseases, 2021, v. 21, p. article no. 485-
dc.identifier.issn1471-2334-
dc.identifier.urihttp://hdl.handle.net/10722/300989-
dc.description.abstractBackground: 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 (Rt) 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, Rt 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 25%, 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.-
dc.languageeng-
dc.publisherBioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmcinfectdis/-
dc.relation.ispartofBMC Infectious Diseases-
dc.rightsBMC Infectious Diseases. Copyright © BioMed Central Ltd.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCOVID-19-
dc.subjectSARS-CoV-2-
dc.subjectTransmission-
dc.subjectEpidemiology-
dc.subjectSocial distancing measure-
dc.titleTransmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea-
dc.typeArticle-
dc.identifier.emailAli, ST: alist15@hku.hk-
dc.identifier.emailLau, EHY: ehylau@hku.hk-
dc.identifier.emailCowling, BJ: bcowling@hku.hk-
dc.identifier.authorityAli, ST=rp02673-
dc.identifier.authorityLau, EHY=rp01349-
dc.identifier.authorityCowling, BJ=rp01326-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s12879-021-06204-6-
dc.identifier.pmid34039296-
dc.identifier.pmcidPMC8154110-
dc.identifier.scopuseid_2-s2.0-85106903220-
dc.identifier.hkuros323241-
dc.identifier.hkuros323998-
dc.identifier.volume21-
dc.identifier.spagearticle no. 485-
dc.identifier.epagearticle no. 485-
dc.identifier.isiWOS:000658429000008-
dc.publisher.placeUnited Kingdom-
dc.relation.erratumdoi:10.1186/s12879-021-06358-3-

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