ID | 63355 |
フルテキストURL | |
著者 |
Yamamoto, Norio
Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Mitsuhashi, Toshiharu
Center for Innovative Clinical Medicine, Okayama University Hospital
Kaken ID
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Tsuchihashi, Yuuki
Center for Field Epidemic Intelligence, Research, and Professional Development, National Institute of Infectious Diseases
Yorifuji, Takashi
Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
ORCID
Kaken ID
publons
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抄録 | Previous studies have not assessed the causal effect of the Olympic Games on the spread of pandemics. Using the synthetic control method and the national public city data in Japan recorded from February to September 2021, we estimated the causal effects of the Tokyo 2020 Olympic and Paralympic Games on the number of coronavirus disease 2019 (COVID-19) cases. The difference between the number of COVID-19 cases in Tokyo and a counterfactual "synthetic Tokyo" (created using synthetic control method) after the opening of the Tokyo 2020 Games (23 July 2021) widened gradually and then considerably over time. It was predicted that the Tokyo 2020 Games increased the number of COVID-19 cases in Tokyo by approximately 469.4 per 100,000 population from the opening of the event to 30 September. However, sensitivity analysis of the ratio of the pre- and post-game root mean square prediction errors using regression weights did not suggest robustness. Our results showed that the Tokyo 2020 Games probably increased the number of COVID-19 cases even under preventive regulations; however, the extent of this increase was difficult to estimate clearly due to an overlap with the fifth wave associated with the Delta variant.
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キーワード | Tokyo 2020
Olympic and Paralympic Games
COVID-19
pandemic
synthetic control method
causal effect
ecological study
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発行日 | 2022-02-03
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出版物タイトル |
Journal Of Personalized Medicine
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巻 | 12巻
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号 | 2号
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出版者 | MDPI
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開始ページ | 209
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ISSN | 2075-4426
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資料タイプ |
学術雑誌論文
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言語 |
英語
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OAI-PMH Set |
岡山大学
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著作権者 | © 2022 by the authors.
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論文のバージョン | publisher
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DOI | |
Web of Science KeyUT | |
関連URL | isVersionOf https://doi.org/10.3390/jpm12020209
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ライセンス | https://creativecommons.org/licenses/by/4.0/
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