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Associations between social fragmentation, socioeconomic deprivation and suicide risk across 1887 municipalities in Japan, 2009-2017 : a spatial analysis using the Bayesian hierarchical model

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dc.contributor.authorYoshioka, Eiji
dc.contributor.authorHanley, Sharon
dc.contributor.authorSato, Yukihiro
dc.contributor.authorSaijo, Yasuaki
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.date.accessioned2023-01-20T10:06:01Z
dc.date.available2023-01-20T10:06:01Z
dc.date.issued2022-08-30
dc.descriptionFunding This work was supported by a Grant-in-Aid for scientific research from the Ministry of Education, Culture, Sports, Science and Technology of Japan (Award Number 18K10080).en
dc.description.statusPeer revieweden
dc.format.extent13
dc.format.extent1269619
dc.identifier226391423
dc.identifierd896cf34-f00c-46ef-b6dd-0fb2f0a4f881
dc.identifier36041759
dc.identifier85137001151
dc.identifier.citationYoshioka, E, Hanley, S, Sato, Y & Saijo, Y 2022, 'Associations between social fragmentation, socioeconomic deprivation and suicide risk across 1887 municipalities in Japan, 2009-2017 : a spatial analysis using the Bayesian hierarchical model', BMJ Open, vol. 12, no. 8, e063255. https://doi.org/10.1136/bmjopen-2022-063255en
dc.identifier.doi10.1136/bmjopen-2022-063255
dc.identifier.iss8en
dc.identifier.issn2044-6055
dc.identifier.otherPubMedCentral: PMC9438050
dc.identifier.otherORCID: /0000-0002-7554-004X/work/127304269
dc.identifier.urihttps://hdl.handle.net/2164/19868
dc.identifier.vol12en
dc.language.isoeng
dc.relation.ispartofBMJ Openen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectBayes Theoremen
dc.subjectCities/epidemiologyen
dc.subjectFemaleen
dc.subjectHumansen
dc.subjectJapan/epidemiologyen
dc.subjectMaleen
dc.subjectSocioeconomic Factorsen
dc.subjectSpatial Analysisen
dc.subjectSuicideen
dc.subjectR Medicineen
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titleAssociations between social fragmentation, socioeconomic deprivation and suicide risk across 1887 municipalities in Japan, 2009-2017 : a spatial analysis using the Bayesian hierarchical modelen
dc.typeJournal articleen

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