このエントリーをはてなブックマークに追加
ID 63355
FullText URL
fulltext.pdf 4.54 MB
Author
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 researchmap
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 researchmap
Abstract
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.
Keywords
Tokyo 2020
Olympic and Paralympic Games
COVID-19
pandemic
synthetic control method
causal effect
ecological study
Published Date
2022-02-03
Publication Title
Journal Of Personalized Medicine
Volume
volume12
Issue
issue2
Publisher
MDPI
Start Page
209
ISSN
2075-4426
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2022 by the authors.
File Version
publisher
PubMed ID
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.3390/jpm12020209
License
https://creativecommons.org/licenses/by/4.0/