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dc.contributor.authorSasanami, Misakien
dc.contributor.authorKayano, Taishien
dc.contributor.authorNishiura, Hiroshien
dc.contributor.alternative笹波, 美咲ja
dc.contributor.alternative茅野, 大志ja
dc.contributor.alternative西浦, 博ja
dc.date.accessioned2023-02-07T09:58:39Z-
dc.date.available2023-02-07T09:58:39Z-
dc.date.issued2022-09-
dc.identifier.urihttp://hdl.handle.net/2433/279169-
dc.description.abstract[Objectives] COVID-19 vaccination in Japan started on February 17, 2021. Because the timing of vaccination and the risk of severe COVID-19 greatly varied with age, the present study aimed to monitor the age-specific fractions of the population who were immune to SARS-CoV-2 infection after vaccination. [Methods] Natural infection remained extremely rare, accounting for less than 5% of the population by the end of 2021; thus, we ignored natural infection-induced immunity and focused on vaccine-induced immunity. We estimated the fraction of the population immune to infection by age group using vaccination registry data from February 17, 2021, to October 17, 2021. We accounted for two important sources of delay: (i) reporting delay and (ii) time from vaccination until immune protection develops. [Results] At the end of the observation period, the proportion of individuals still susceptible to SARS-CoV-2 infection substantially varied by age and was estimated to be ≥90% among people aged 0–14 years, in contrast to approximately 20% among the population aged ≥65 years. We also estimated the effective reproduction number over time using a next-generation matrix while accounting for differences in the proportion immune to infection by age. [Conclusion] The COVID-19 immune landscape greatly varied by age, and a substantial proportion of young adults remained susceptible. Vaccination contributed to a marked decrease in the reproduction number.en
dc.language.isoeng-
dc.publisherElsevier BVen
dc.publisherInternational Society for Infectious Diseasesen
dc.rights© 2022 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.en
dc.rightsThis is an open access article under the CC BY-NC-ND license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectCOVID-19en
dc.subjectVaccinationen
dc.subjectEpidemiologyen
dc.subjectMathematical modelen
dc.subjectStatistical modelen
dc.titleMonitoring the COVID-19 immune landscape in Japanen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleInternational Journal of Infectious Diseasesen
dc.identifier.volume122-
dc.identifier.spage300-
dc.identifier.epage306-
dc.relation.doi10.1016/j.ijid.2022.06.005-
dc.textversionpublisher-
dc.identifier.pmid35688309-
dcterms.accessRightsopen access-
datacite.awardNumber21H03198-
datacite.awardNumber21K10495-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H03198/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K10495/-
dc.identifier.pissn1201-9712-
dc.identifier.eissn1878-3511-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle新型コロナウイルス感染症の異質性や不顕性を加味したリアルタイム評価研究基盤の構築ja
jpcoar.awardTitleCOVID-19の2次感染に係る異質性を加味した効果的な制御戦略の定量化ja
出現コレクション:学術雑誌掲載論文等

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