Literature DB >> 32633713

Coronavirus Disease Exposure and Spread from Nightclubs, South Korea.

Cho Ryok Kang, Jin Yong Lee, Yoojin Park, In Sil Huh, Hyon Jeen Ham, Jin Kyeong Han, Jung Il Kim, Baeg Ju Na.   

Abstract

At least 246 cases of coronavirus disease (COVID-19) have been linked to nightclubs in Seoul, South Korea. During the April 30-May 5 holiday, young adults from across the country who visited nightclubs in Seoul contracted COVID-19 and spread it nationally. Nightclubs were temporarily closed to limit COVID-19 spread.

Entities:  

Keywords:  2019 novel coronavirus disease; COVID-19; SARS; SARS-CoV-2; Seoul; South Korea; coronavirus; coronavirus disease; nightclubs; outbreak; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses

Mesh:

Year:  2020        PMID: 32633713      PMCID: PMC7510694          DOI: 10.3201/eid2610.202573

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


South Korea had 10,801 confirmed cases of coronavirus disease (COVID-19) by May 4, 2020 (). The epidemic curve of the cumulative number of cases had plateaued in April (Appendix). Nightclubs that had been closed as part of the social distancing policy reopened on April 30, ahead of the April 30–May 5 Golden Week holiday. People from around the country visited the Itaewon area (Itaewon-dong) in downtown Seoul during the holiday period. Itaewon is known for its diversity and contains a US Army base, multiple embassies, and several well-known nightclubs. Starting on May 6, several COVID-19 cases were confirmed among persons who had visited nightclubs in Itaewon during the holiday. Secondary transmission by case-patients linked to the Itaewon nightclubs led to local transmission of COVID-19 in other parts of the country (Figure). On May 9, the Seoul Metropolitan Government announced indefinite closure of all nightclubs in Seoul to control the source of the outbreak. Subsequently, several regions prohibited mass gatherings.
Figure

Cases related to the COVID-19 outbreak in nightclubs in Itaewon, Seoul, South Korea, that were diagnosed in major cities and provinces of South Korea as of May 25, 2020. A) Distribution of cases by city (n = 246). B) Distribution of primary and secondary cases contracted in nightclubs within the Seoul metropolitan area, by neighborhood in which the nightclubs are located (n = 118, of which 96 contracted the disease in Seoul nightclubs).

Cases related to the COVID-19 outbreak in nightclubs in Itaewon, Seoul, South Korea, that were diagnosed in major cities and provinces of South Korea as of May 25, 2020. A) Distribution of cases by city (n = 246). B) Distribution of primary and secondary cases contracted in nightclubs within the Seoul metropolitan area, by neighborhood in which the nightclubs are located (n = 118, of which 96 contracted the disease in Seoul nightclubs). The Seoul Metropolitan Government and Yongsan-gu Office, in cooperation with the Seoul Metropolitan Police Agency, conducted contact tracing of persons who had visited any of the 5 major nightclubs in Itaewon during April 30–May 6. The use of cell phone location data, credit card records, and lists of nightclub visitors led to the identification of 5,517 persons for screening; of those, 1,257 were actively monitored. An additional 57,536 persons who had spent >30 minutes in the vicinity of the nightclubs, as determined by their cell phone location data, were sent a series of text messages encouraging them to undergo testing. After media outlets reported that venues at the epicenter of the outbreak were gay nightclubs, a rumor spread that this COVID-19 outbreak originated among gay men. Authorities became concerned that this rumor could adversely affect nightclub visitors’ willingness to be tested. Because of prejudice against homosexuality, gay men in South Korea usually experience discrimination and stigmatization and so are often unwilling to reveal their sexual identity (). Thus, the Seoul Metropolitan Government consulted sexual-minority groups to discuss ways to encourage testing among gay men. The sexual-minority groups recommended anonymous testing. Therefore, the Seoul Metropolitan Government introduced anonymous testing and stated that the only information that patients were required to provide was their cell phone number for contact purposes. Through the lesbian, gay, bisexual, and transgender community, we advertised that screening clinics of public health centers were conducting anonymous testing for COVID-19; we also advertised anonymous testing through mass media. We conducted large-scale testing for active case-finding among persons who had visited the Itaewon nightclubs. Patients’ cell phone numbers were checked on site before testing. Demographic data were obtained by contacting those who tested positive. Of the 41,612 total tests conducted by May 25, a total of 35,827 (86.1%) were conducted on Itaewon nightclub visitors, 5,785 (13.9%) on contacts of case-patients linked to the Itaewon nightclubs, and 1,627 (3.9%) tests conducted on anonymous persons. The prevalence of positive results for COVID-19 in nightclub visitors was 0.19% (67/35,827); in their contacts, 0.88% (51/5,785); and in anonymously tested persons, 0.06% (1/1,627). As of May 25, a total of 246 confirmed nightclub-associated cases had been reported; 96 (39%) of those were primary cases and 150 (61%) were secondary cases (Figure). The estimated attack rate among nightclub visitors was 1.74% (96/5,517). Of the total number of confirmed cases, 118 positive case-patients (47.9%) live in Seoul; among those, 67 (56.8%) were primary cases, 32 (27.1%) secondary cases, 7 (5.9%) tertiary cases, 4 (3.4%) quaternary cases, 4 (3.4%) fifth-order cases, and 4 (3.4%) sixth-order cases. Infections related to the nightclub outbreak continued to spread further in the community; in Seoul, COVID-19 cases related to the outbreak were identified in 9 different workplaces (several companies, the Army base, and a hospital) and 6 multiuse facilities (pubs, coin karaoke facilities, and a fitness center). In addition, we identified 7 cases of household transmission (Appendix). In summary, we identified 246 COVID-19 cases associated with the reopening of nightclubs in Seoul. To conduct contact tracing for this outbreak, we used multiple forms of advanced information technology, including location data from mobile devices, credit card payment history, geographic positioning service data, drug utilization review, public transportation transit pass records, and closed-circuit television footage (). Despite the low incidence of COVID-19 in the postpeak period of the pandemic, superspreading related to visiting nightclubs in Seoul has the potential to spark a resurgence of cases in South Korea.

Appendix

Additional information about coronavirus exposure and spread from nightclubs in Seoul, South Korea.
  2 in total

1.  Information Technology-Based Tracing Strategy in Response to COVID-19 in South Korea-Privacy Controversies.

Authors:  Sangchul Park; Gina Jeehyun Choi; Haksoo Ko
Journal:  JAMA       Date:  2020-06-02       Impact factor: 56.272

2.  Attitudinal Changes Toward Homosexuality During the Past Two Decades (1994-2014) in Korea.

Authors:  Gahyun Youn
Journal:  J Homosex       Date:  2017-03-23
  2 in total
  21 in total

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Authors:  Shin-Kue Ryu; Soon-Gwan Chung
Journal:  Int J Environ Res Public Health       Date:  2021-08-05       Impact factor: 3.390

2.  Operation and Management of Seoul Metropolitan City Community Treatment Center for Mild Condition COVID-19 Patients.

Authors:  Sun Young Lee; Kyoung Jun Song; Chun Soo Lim; Byeong Gwan Kim; Young Jun Chai; Jung Kyu Lee; Su Hwan Kim; Hyouk Jae Lim
Journal:  J Korean Med Sci       Date:  2020-10-19       Impact factor: 2.153

3.  Severe Acute Respiratory Syndrome Coronavirus 2 Outbreak Related to a Nightclub, Germany, 2020.

Authors:  Nadine Muller; Mareike Kunze; Fabienne Steitz; Neil J Saad; Barbara Mühlemann; Jörn I Beheim-Schwarzbach; Julia Schneider; Christian Drosten; Lukas Murajda; Sandra Kochs; Claudia Ruscher; Jan Walter; Nadine Zeitlmann; Victor M Corman
Journal:  Emerg Infect Dis       Date:  2020-12-02       Impact factor: 6.883

4.  Power of universal health coverage in the era of COVID-19: A nationwide observational study.

Authors:  Hyejin Lee; Jae-Ryun Lee; Hyemin Jung; Jin Yong Lee
Journal:  Lancet Reg Health West Pac       Date:  2021-01-22

Review 5.  Testing at scale during the COVID-19 pandemic.

Authors:  Tim R Mercer; Marc Salit
Journal:  Nat Rev Genet       Date:  2021-05-04       Impact factor: 59.581

6.  COVID-19 Pandemic on Fire: Evolved Propensities for Nocturnal Activities as a Liability Against Epidemiological Control.

Authors:  Marco Antonio Correa Varella; Severi Luoto; Rafael Bento da Silva Soares; Jaroslava Varella Valentova
Journal:  Front Psychol       Date:  2021-03-22

7.  Probable airborne transmission of SARS-CoV-2 in a poorly ventilated restaurant.

Authors:  Yuguo Li; Hua Qian; Jian Hang; Xuguang Chen; Pan Cheng; Hong Ling; Shengqi Wang; Peng Liang; Jiansen Li; Shenglan Xiao; Jianjian Wei; Li Liu; Benjamin J Cowling; Min Kang
Journal:  Build Environ       Date:  2021-03-13       Impact factor: 6.456

8.  Critical Role of the Subways in the Initial Spread of SARS-CoV-2 in New York City.

Authors:  Jeffrey E Harris
Journal:  Front Public Health       Date:  2021-12-23

9.  A COVID-19 Exposure at a Dental Clinic Where Healthcare Workers Routinely Use Particulate Filtering Respirators.

Authors:  Dosup Kim; Jae-Hoon Ko; Kyong Ran Peck; Jin Yang Baek; Hee-Won Moon; Hyun Kyun Ki; Ji Hyun Yoon; Hyo Jin Kim; Jeong Hwa Choi; Ga Eun Park
Journal:  Int J Environ Res Public Health       Date:  2021-06-16       Impact factor: 3.390

10.  Case-Control Study of Use of Personal Protective Measures and Risk for SARS-CoV 2 Infection, Thailand.

Authors:  Pawinee Doung-Ngern; Rapeepong Suphanchaimat; Apinya Panjangampatthana; Chawisar Janekrongtham; Duangrat Ruampoom; Nawaporn Daochaeng; Napatchakorn Eungkanit; Nichakul Pisitpayat; Nuengruethai Srisong; Oiythip Yasopa; Patchanee Plernprom; Pitiphon Promduangsi; Panita Kumphon; Paphanij Suangtho; Peeriya Watakulsin; Sarinya Chaiya; Somkid Kripattanapong; Thanawadee Chantian; Emily Bloss; Chawetsan Namwat; Direk Limmathurotsakul
Journal:  Emerg Infect Dis       Date:  2020-09-15       Impact factor: 6.883

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