Transmission of COVID-19 in Nightlife, Household, and Health Care Settings in Tokyo, Japan, in 2020

Author:

Imamura Takeaki1,Watanabe Aika2,Serizawa Yusuke3,Nakashita Manami4,Saito Mayuko1,Okada Mayu5,Ogawa Asamoe5,Tabei Yukiko5,Soumura Yoshiko5,Nadaoka Yoko5,Nakatsubo Naoki6,Chiba Takashi5,Sadamasu Kenji5,Yoshimura Kazuhisa5,Noda Yoshihiro7,Iwashita Yuko8,Ishimaru Yuji9,Seki Naomi10,Otani Kanako4,Imamura Tadatsugu11,Griffith Matthew Myers12,DeToy Kelly13,Suzuki Motoi4,Yoshida Michihiko14,Tanaka Atsuko9,Yauchi Mariko15,Shimada Tomoe4,Oshitani Hitoshi1

Affiliation:

1. Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan

2. Itabashi-City Public Health Center, Tokyo, Japan

3. National Defense Medical College Hospital, Saitama, Japan

4. National Institute of Infectious Diseases, Tokyo, Japan

5. Tokyo Metropolitan Institute of Public Health, Tokyo, Japan

6. Public Health and Disease Prevention Division, Suginami City Public Health Center, Tokyo, Japan

7. Department of Plastic, Reconstructive and Aesthetic Surgery, Nippon Medical School, Tokyo, Japan

8. Tama Tachikawa Public Health Center, Tokyo, Japan

9. Bureau of Social Welfare and Public Health, Tokyo Metropolitan Government, Tokyo, Japan

10. Ota City Public Health Center, Tokyo, Japan

11. National Center for Child Health and Development, Tokyo, Japan

12. National Centre for Epidemiology and Population Health, the Australian National University, Canberra, Australia

13. Division of Global Disease Epidemiology and Control, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland

14. Minato Public Health Center, Tokyo, Japan

15. Bunkyo-City Public Health Center, Tokyo, Japan

Abstract

ImportanceThere have been few studies on the heterogeneous interconnection of COVID-19 outbreaks occurring in different social settings using robust, surveillance epidemiological data.ObjectivesTo describe the characteristics of COVID-19 transmission within different social settings and to evaluate settings associated with onward transmission to other settings.Design, Setting, and ParticipantsThis is a case series study of laboratory-confirmed COVID-19 cases in Tokyo between January 23 and December 5, 2020, when vaccination was not yet implemented. Using epidemiological investigation data collected by public health centers, epidemiological links were identified and classified into 7 transmission settings: imported, nightlife, dining, workplace, household, health care, and other.Main Outcomes and MeasuresThe number of cases per setting and the likelihood of generating onward transmissions were compared between different transmission settings.ResultsOf the 44 054 confirmed COVID-19 cases in this study, 25 241 (57.3%) were among male patients, and the median (IQR) age of patients was 36 (26-52) years. Transmission settings were identified in 13 122 cases, including 6768 household, 2733 health care, and 1174 nightlife cases. More than 6600 transmission settings were detected, and nightlife (72 of 380 [18.9%]; P < .001) and health care (119 [36.2%]; P < .001) settings were more likely to involve 5 or more cases than dining, workplace, household, and other settings. Nightlife cases appeared in the earlier phase of the epidemic, while household and health care cases appeared later. After adjustment for transmission setting, sex, age group, presence of symptoms, and wave, household and health care cases were less likely to generate onward transmission compared with nightlife cases (household: adjusted odds ratio, 0.03; 95% CI, 0.02-0.05; health care: adjusted odds ratio, 0.57; 95% CI, 0.41-0.79). Household settings were associated with intergenerational transmission, while nonhousehold settings mainly comprised transmission between the same age group. Among 30 932 cases without identified transmission settings, cases with a history of visiting nightlife establishments were more likely to generate onward transmission to nonhousehold settings (adjusted odds ratio, 5.30 [95% CI, 4.64-6.05]; P < .001) than those without such history.Conclusions and RelevanceIn this case series study, COVID-19 cases identified in nightlife settings were associated with a higher likelihood of spreading COVID-19 than household and health care cases. Surveillance and interventions targeting nightlife settings should be prioritized to disrupt COVID-19 transmission, especially in the early stage of an epidemic.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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