| Autor: |
Takeaki Imamura, Aika Watanabe, Yusuke Serizawa, Manami Nakashita, Mayuko Saito, Mayu Okada, Asamoe Ogawa, Yukiko Tabei, Yoshiko Soumura, Yoko Nadaoka, Naoki Nakatsubo, Takashi Chiba, Kenji Sadamasu, Kazuhisa Yoshimura, Yoshihiro Noda, Yuko Iwashita, Yuji Ishimaru, Naomi Seki, Kanako Otani, Tadatsugu Imamura, Matthew Myers Griffith, Kelly DeToy, Motoi Suzuki, Michihiko Yoshida, Atsuko Tanaka, Mariko Yauchi, Tomoe Shimada, Hitoshi Oshitani |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
JAMA Network Open. 6:e230589 |
| ISSN: |
2574-3805 |
| DOI: |
10.1001/jamanetworkopen.2023.0589 |
| Popis: |
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 P P 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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