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タイトル: Projecting a second wave of COVID-19 in Japan with variable interventions in high-risk settings
著者: Jung, Sung-mok
Endo, Akira
Kinoshita, Ryo
Nishiura, Hiroshi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-0941-8537 (unconfirmed)
著者名の別形: ジョン, スンモク
遠藤, 彰
木下, 諒
西浦, 博
キーワード: countermeasure
next-generation matrix
Japan
projection
exit strategy
COVID-19
発行日: Mar-2021
出版者: The Royal Society
誌名: Royal Society Open Science
巻: 8
号: 3
論文番号: 202169
抄録: An initial set of interventions, including the closure of host and hostess clubs and voluntary limitation of non-household contact, probably greatly contributed to reducing the disease incidence of coronavirus disease (COVID-19) in Japan, but this approach must eventually be replaced by a more sustainable strategy. To characterize such a possible exit strategy from the restrictive guidelines, we quantified the next-generation matrix, accounting for high- and low-risk transmission settings. This matrix was used to project the future incidence in Tokyo and Osaka after the state of emergency is lifted, presenting multiple ‘post-emergency’ scenarios with different levels of restriction. The effective reproduction numbers (R) for the increasing phase, the transition phase and the state-of-emergency phase in the first wave of the disease were estimated as 1.78 (95% credible interval (CrI): 1.73–1.82), 0.74 (95% CrI: 0.71–0.78) and 0.63 (95% CrI: 0.61–0.65), respectively, in Tokyo and as 1.58 (95% CrI: 1.51–1.64), 1.20 (95% CrI: 1.15–1.25) and 0.48 (95% CrI: 0.44–0.51), respectively, in Osaka. Projections showed that a 50% decrease in the high-risk transmission is required to keep R less than 1 in both locations—a level necessary to maintain control of the epidemic and minimize the risk of resurgence.
著作権等: © 2021 The Authors.
Published by the Royal Society under the terms of the Creative Commons Attribution License, which permits unrestricted use, provided the original author and source are credited.
URI: http://hdl.handle.net/2433/277750
DOI(出版社版): 10.1098/rsos.202169
PubMed ID: 34035940
出現コレクション:学術雑誌掲載論文等

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