Epidemiology and Control of Two Epidemic Waves of SARS-CoV-2 in South Korea

33 Pages Posted: 10 Sep 2020

See all articles by Sukhyun Ryu

Sukhyun Ryu

Konyang University - Department of Preventive Medicine

Eunbi Noh

Konyang University - Department of Preventive Medicine

Sheikh Taslim Ali

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Dasom Kim

Konyang University - Department of Preventive Medicine

Eric H.Y. Lau

WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka ShingFaculty of Medicine, The University of Hong Kong

Benjamin J. Cowling

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Multiple version iconThere are 2 versions of this paper

Date Written: September 5, 2020

Abstract

Background: Since the first case of pandemic COVID-19 in South Korea, identified on 19 January 2020, two epidemic waves have occurred. We characterised the epidemiology, transmission dynamics and effectiveness of control measures in each epidemic wave of COVID-19.

Methods: We analysed publicly available data on confirmed cases of COVID-19 outside of Daegu-Gyeongbuk Regions in South Korea during first (19 January–19 April 2020) and second (20 April–11 August 2020) epidemic waves. Transmissibility of SARS-CoV-2 was measured by daily effective reproductive number, Rt. Frequencies of cluster types, age-specific transmission probability matrices, proportion of asymptomatic and unlinked cases, and serial interval distribution were estimated for each wave.

Results: In early May, within 2-weeks of relaxation on strict social distancing measures, Rt increased rapidly from 0.2 to 2.3 within a week and was around 1 until early July. The most frequent clusters type were the religious related activities in both waves, but noticed more workplace-related clusters in the second wave. The proportion of asymptomatic cases at presentation increased from 22% during first wave to 27% during second wave. The proportion of unlinked local cases were similar in both waves (22% and 24%). Transmissions among same age were more common, and children were rarely infectors or infectees. The mean serial interval were similar (~3 days) in both waves.

Conclusions: Our study shows that relaxing social distancing measures was associated with increased SARS-CoV-2 transmission. Enhanced contact tracing including asymptomatic cases could be more efficient with social distancing to control further waves of the pandemic.

Note: Funding: National Research Foundation, South Korea.

Conflict of Interest: BJC reports honoraria from Sanofi Pasteur and Roche. All other authors declare no competing interests.

Ethical Approval: This study did not require institutional review board approval or informed consent, because all data used were anonymous and publicly available on local public health agency websites.

Keywords: COVID-19; SARS-CoV-2; transmission; epidemiology; social distancing measure

Suggested Citation

Ryu, Sukhyun and Noh, Eunbi and Ali, Sheikh Taslim and Kim, Dasom and Lau, Eric H.Y. and Cowling, Benjamin J., Epidemiology and Control of Two Epidemic Waves of SARS-CoV-2 in South Korea (September 5, 2020). Available at SSRN: https://ssrn.com/abstract=3687061 or http://dx.doi.org/10.2139/ssrn.3687061

Sukhyun Ryu (Contact Author)

Konyang University - Department of Preventive Medicine ( email )

Korea, Republic of (South Korea)

HOME PAGE: http://onehealth.or.kr

Eunbi Noh

Konyang University - Department of Preventive Medicine ( email )

30-1 Nae-dong
Nonsan, Chungcheongnam-do
Korea, Republic of (South Korea)

Sheikh Taslim Ali

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

United States

Dasom Kim

Konyang University - Department of Preventive Medicine ( email )

30-1 Nae-dong
Nonsan, Chungcheongnam-do
Korea, Republic of (South Korea)

Eric H.Y. Lau

WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka ShingFaculty of Medicine, The University of Hong Kong

United States

Benjamin J. Cowling

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

7 Sassoon Road
Hong Kong
China
+852 3917 6711 (Phone)

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