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dc.contributor.authorSimpson, Colin R.
dc.contributor.authorRobertson, Chris
dc.contributor.authorVasileiou, Eleftheria
dc.contributor.authorMoore, Emily
dc.contributor.authorMcCowan, Colin
dc.contributor.authorAgrawal, Utkarsh
dc.contributor.authorStagg, Helen R.
dc.contributor.authorDocherty, Annemarie
dc.contributor.authorMulholland, Rachel
dc.contributor.authorMurray, Josephine L.K.
dc.contributor.authorRitchie, Lewis D.
dc.contributor.authorMcMenamin, Jim
dc.contributor.authorSheikh, Aziz
dc.date.accessioned2021-09-16T09:38:00Z
dc.date.available2021-09-16T09:38:00Z
dc.date.issued2021-08
dc.identifier.citationSimpson , C R , Robertson , C , Vasileiou , E , Moore , E , McCowan , C , Agrawal , U , Stagg , H R , Docherty , A , Mulholland , R , Murray , J L K , Ritchie , L D , McMenamin , J & Sheikh , A 2021 , ' Temporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform : a statistical modelling study ' , The Lancet Digital Health , vol. 3 , no. 8 , pp. e517-e525 . https://doi.org/10.1016/S2589-7500(21)00105-9en
dc.identifier.issn2589-7500
dc.identifier.otherPURE: 200470526
dc.identifier.otherPURE UUID: b52f9043-46eb-474c-aea3-79747eaee4eb
dc.identifier.otherScopus: 85111079793
dc.identifier.otherPubMed: 34238721
dc.identifier.urihttps://hdl.handle.net/2164/17087
dc.descriptionFunding Information: This study is part of the EAVE II project. EAVE II is funded by the MRC (MR/R008345/1) with the support of BREATHE—The Health Data Research Hub for Respiratory Health (MC_PC_19004), which is funded through the UK Research and Innovation Industrial Strategy Challenge Fund and delivered through Health Data Research UK. Additional support has been provided through Public Health Scotland and Scottish Government Director General Health and Social Care. The original EAVE project was funded by the NIHR Health Technology Assessment programme (11/46/23). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. We thank Dave Kelly from Albasoft (Inverness, UK) for his support with making primary care data available and James Pickett (Health Data Research UK, London, UK); Wendy Inglis-Humphrey, Vicky Hammersley, Laura Brook, Maria Georgiou, and Laura Gonzalez Rienda (University of Edinburgh, Edinburgh, UK); and Pam McVeigh, Amanda Burridge, Sumedha Asnani-Chetal, and Afshin Dastafshan (Public Health Scotland, Glasgow, UK) for their support with project management and administration.en
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofThe Lancet Digital Healthen
dc.rights© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. https://creativecommons.org/licenses/by/4.0/en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectSDG 9 - Industry, Innovation, and Infrastructureen
dc.subjectR Medicineen
dc.subjectMedicine (miscellaneous)en
dc.subjectHealth Informaticsen
dc.subjectDecision Sciences (miscellaneous)en
dc.subjectHealth Information Managementen
dc.subjectMedical Research Council (MRC)en
dc.subjectMR/R008345/1en
dc.subjectNational Institute for Health Research (NIHR)en
dc.subject11/46/23en
dc.subject.lccRen
dc.titleTemporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform : a statistical modelling studyen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1016/S2589-7500(21)00105-9
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85111079793&partnerID=8YFLogxKen


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