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dc.contributor.authorJung, Sung-moken
dc.contributor.authorEndo, Akiraen
dc.contributor.authorKinoshita, Ryoen
dc.contributor.authorNishiura, Hiroshien
dc.contributor.alternativeジョン, スンモクja
dc.contributor.alternative遠藤, 彰ja
dc.contributor.alternative木下, 諒ja
dc.contributor.alternative西浦, 博ja
dc.date.accessioned2022-12-09T04:27:39Z-
dc.date.available2022-12-09T04:27:39Z-
dc.date.issued2021-03-
dc.identifier.urihttp://hdl.handle.net/2433/277750-
dc.description.abstractAn 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.en
dc.language.isoeng-
dc.publisherThe Royal Societyen
dc.rights© 2021 The Authors.en
dc.rightsPublished 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.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectcountermeasureen
dc.subjectnext-generation matrixen
dc.subjectJapanen
dc.subjectprojectionen
dc.subjectexit strategyen
dc.subjectCOVID-19en
dc.titleProjecting a second wave of COVID-19 in Japan with variable interventions in high-risk settingsen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleRoyal Society Open Scienceen
dc.identifier.volume8-
dc.identifier.issue3-
dc.relation.doi10.1098/rsos.202169-
dc.textversionpublisher-
dc.identifier.artnum202169-
dc.identifier.pmid34035940-
dcterms.accessRightsopen access-
datacite.awardNumber17H04701-
datacite.awardNumber20J21358-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17H04701/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20J21358/-
dc.identifier.eissn2054-5703-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle感染者隔離効果の推定手法開発と隔離の有効性メカニズムの解明ja
jpcoar.awardTitleインフルエンザと細菌性肺炎の相互流行動態の解明とインフルエンザワクチンの効果推定ja
出現コレクション:学術雑誌掲載論文等

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