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MSM with HIV : Improving prevalence and risk estimates by a Bayesian small area estimation modelling approach for public health service areas in the Netherlands

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dc.contributor.authorWang, Haoyi
dc.contributor.authorDaas, Chantal den
dc.contributor.authorde Coul, Eline Op
dc.contributor.authorJonas, Kai J.
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Health Psychology Groupen
dc.date.accessioned2023-06-13T14:54:01Z
dc.date.available2023-06-13T14:54:01Z
dc.date.issued2023-06
dc.descriptionAcknowledgement: We thank all participants of the surveys and the individuals involved in preparation, execution and analysis of the surveys. We thank Wim Zuilhof, Bouko Bakker, Aryanti Radyowijati, Koenraad Vermey, Arjan van Bijnen and the EMIS board for their invaluable help for the EMIS-2017 data. In addition, we thank John de Wit, Philippe Adam, and Wim Zuilhof, for their role in the development and collection of SMS-2018 data. Funding The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.en
dc.description.statusPeer revieweden
dc.format.extent3934055
dc.identifier237063206
dc.identifierdb1206a4-204d-4ba1-9ed7-528766c3b2da
dc.identifier85150894694
dc.identifier.citationWang, H, Daas, C D, de Coul, E O & Jonas, K J 2023, 'MSM with HIV : Improving prevalence and risk estimates by a Bayesian small area estimation modelling approach for public health service areas in the Netherlands', Spatial and Spatio-temporal Epidemiology, vol. 45, 100577. https://doi.org/10.1016/j.sste.2023.100577en
dc.identifier.doi10.1016/j.sste.2023.100577
dc.identifier.issn1877-5845
dc.identifier.otherORCID: /0000-0003-0955-3691/work/136883029
dc.identifier.urihttps://hdl.handle.net/2164/20839
dc.identifier.urlhttps://www.scopus.com/pages/publications/85150894694en
dc.language.isoeng
dc.relation.ispartofSpatial and Spatio-temporal Epidemiologyen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectBayesian spatial analysisen
dc.subjectHIV surveillanceen
dc.subjectMSMen
dc.subjectSmall area estimationen
dc.subjectR Medicineen
dc.subjectEpidemiologyen
dc.subjectGeography, Planning and Developmenten
dc.subjectInfectious Diseasesen
dc.subjectHealth, Toxicology and Mutagenesisen
dc.subjectSupplementary Informationen
dc.subject.lccRen
dc.titleMSM with HIV : Improving prevalence and risk estimates by a Bayesian small area estimation modelling approach for public health service areas in the Netherlandsen
dc.typeJournal articleen

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