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タイトル: Response to COVID-19 during the Tokyo Olympic Games: Did we properly assess the risk?
著者: Jung, Sung-mok
Hayashi, Katsuma
Kayano, Taishi  KAKEN_id  orcid https://orcid.org/0000-0002-1884-9200 (unconfirmed)
Nishiura, Hiroshi  KAKEN_id  orcid https://orcid.org/0000-0003-0941-8537 (unconfirmed)
著者名の別形: ジョン, スンモク
林, 克磨
茅野, 大志
西浦, 博
キーワード: COVID-19
Tokyo Olympic Games
Projection
Risk assessment
Mathematical modeling
発行日: Sep-2022
出版者: Elsevier BV
誌名: Epidemics
巻: 40
論文番号: 100618
抄録: [Background] The number of coronavirus disease 2019 (COVID-19) cases was expected to increase during the Tokyo Olympic Games because of the increased physical contact within and between the domestic population and international participants of the Games. The rapid rise of the Delta variant (B.1.617) in Japan meant that hosting the Olympic Games without any restrictions was likely to lead to an increase in cases. We aimed to quantitatively assess possible COVID-19 response strategies for the Olympic Games, comparing the prevalence of severe cases and the cumulative number of COVID-19 deaths via scenario analysis. [Methods] We used a discrete-time deterministic compartmental model structured by age group. Parameters were calibrated using the age-stratified COVID-19 incidence data in Osaka. Numerical simulations incorporated the planned Olympics Games and nationwide COVID-19 vaccination into the proposed model, alongside various subjects and types of countermeasures. [Results] Our model-informed approach suggested that having spectators at the Tokyo Olympic Games could lead to a surge in both cases and hospitalization. Projections for the scenario that explicitly incorporated the spread of the Delta variant (i.e., time-dependent increase in the relative transmissibility) showed that imposing stringent social distancing measures (Rt=0.7) for more than 8 weeks from the end of the Olympic Games might be required to suppress the prevalence of severe cases of COVID-19 to avoid overwhelming the intensive care unit capacity in Tokyo. [Conclusions] Our modeling analyses guided an optimal choice of COVID-19 response during and after the Tokyo Olympic Games, allowing the epidemic to be brought under control despite such a large mass gathering.
著作権等: © 2022 The Author(s). Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license.
URI: http://hdl.handle.net/2433/279170
DOI(出版社版): 10.1016/j.epidem.2022.100618
PubMed ID: 35908478
出現コレクション:学術雑誌掲載論文等

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