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dc.contributor.authorShadbolt, Nigel
dc.contributor.authorBrett, Alys
dc.contributor.authorChen, Min
dc.contributor.authorMarion, Glenn
dc.contributor.authorMcKendrick, Iain J
dc.contributor.authorPanovska-Griffiths, Jasmina
dc.contributor.authorPellis, Lorenzo
dc.contributor.authorReeve, Richard
dc.contributor.authorSwallow, Ben
dc.date.accessioned2022-09-28T11:30:30Z
dc.date.available2022-09-28T11:30:30Z
dc.date.issued2022-09
dc.identifier.citationShadbolt , N , Brett , A , Chen , M , Marion , G , McKendrick , I J , Panovska-Griffiths , J , Pellis , L , Reeve , R & Swallow , B 2022 , ' The challenges of data in future pandemics ' , Epidemics , vol. 40 , 100612 . https://doi.org/10.1016/j.epidem.2022.100612en
dc.identifier.issn1878-0067
dc.identifier.otherPURE: 281141473
dc.identifier.otherPURE UUID: 0a3a410d-a8ce-4d8e-b166-6ca3fd2dd15e
dc.identifier.otherPubMed: 35930904
dc.identifier.otherPubMedCentral: PMC9297658
dc.identifier.otherORCID: /0000-0002-0227-2160/work/118411953
dc.identifier.otherScopus: 85138447090
dc.identifier.urihttps://hdl.handle.net/10023/26089
dc.descriptionThis work was supported by Engineering and Physical Sciences Research Council (EPSRC) grant no. EP/R014604/1. M.C. was funded by the Engineering and Physical Sciences Research Council (EPSRC) grant no. EP/V054236/1. G.M. is supported by the Scottish Government’s Rural and Environment Science and Analytical Services Division (RESAS). J.P-G’s work is supported by funding from the UK Health Security Agency and the UK Department of Health and Social Care. L.P. is funded by the Wellcome Trust, UK and the Royal Society, UK (grant no. 202562/Z/16/Z). L.P. is supported by the UK Research and Innovation (UKRI) through the JUNIPER modelling consortium (grant no. MR/V038613/1). L.P. is also supported by The Alan Turing Institute for Data Science and Artificial Intelligence, UK. R.R was supported by the Natural Environment Research Council (NERC) grant no. NE/T004193/1 and NE/T010355/1, the Engineering and Physical Sciences Research Council (EPSRC) grant no. EP/V054236/1 and the Science and Technology Facilities Council (STFC) grant no. ST/V006126/1.en
dc.description.abstractThe use of data has been essential throughout the unfolding COVID-19 pandemic. We have needed it to populate our models, inform our understanding, and shape our responses to the disease. However, data has not always been easy to find and access, it has varied in quality and coverage, been difficult to reuse or repurpose. This paper reviews these and other challenges and recommends steps to develop a data ecosystem better able to deal with future pandemics by better supporting preparedness, prevention, detection and response.
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofEpidemicsen
dc.rightsCopyright © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en
dc.subjectData and modelsen
dc.subjectData ecosystemen
dc.subjectData lifecyclesen
dc.subjectFAIR dataen
dc.subjectPandemic preparednessen
dc.subjectCOVID-19en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subject3rd-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccQA75en
dc.subject.lccRA0421en
dc.titleThe challenges of data in future pandemicsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1016/j.epidem.2022.100612
dc.description.statusPeer revieweden


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