Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorPanovska-Griffiths, J.
dc.contributor.authorSwallow, B.
dc.contributor.authorHinch, R.
dc.contributor.authorCohen, J.
dc.contributor.authorRosenfeld, K.
dc.contributor.authorStuart, R. M.
dc.contributor.authorFerretti, L.
dc.contributor.authorDi Lauro, F.
dc.contributor.authorWymant, C.
dc.contributor.authorIzzo, A.
dc.contributor.authorWaites, W.
dc.contributor.authorViner, R.
dc.contributor.authorBonell, C.
dc.contributor.authorFraser, C.
dc.contributor.authorKlein, D.
dc.contributor.authorKerr, C. C.
dc.contributor.authorThe COVID-19 Genomics UK (COG-UK) Consortium
dc.date.accessioned2022-09-28T12:30:20Z
dc.date.available2022-09-28T12:30:20Z
dc.date.issued2022-10-03
dc.identifier281142519
dc.identifiere5e2693a-23cf-4210-82f4-a45d1418dd76
dc.identifier85134371098
dc.identifier.citationPanovska-Griffiths , J , Swallow , B , Hinch , R , Cohen , J , Rosenfeld , K , Stuart , R M , Ferretti , L , Di Lauro , F , Wymant , C , Izzo , A , Waites , W , Viner , R , Bonell , C , Fraser , C , Klein , D , Kerr , C C & The COVID-19 Genomics UK (COG-UK) Consortium 2022 , ' Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions ' , Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , vol. 380 , no. 2233 , 20210315 . https://doi.org/10.1098/rsta.2021.0315en
dc.identifier.issn1364-503X
dc.identifier.othercrossref: 10.1098/rsta.2021.0315
dc.identifier.otherORCID: /0000-0002-0227-2160/work/118411956
dc.identifier.urihttps://hdl.handle.net/10023/26094
dc.descriptionJ.P.G.’s work was supported by funding from the UK Health Security Agency and the UK Department of Health and Social Care (DHSC). This work was also supported by DHSC funding awarded to C.F. and Li Ka Shing Foundation grant awarded to C.F. COG-UK is supported by funding from the Medical Research Council (MRC) part of UK Research & Innovation (UKRI), the National Institute of Health Research (NIHR) (grant code: MC_PC_19027), and Genome Research Limited, operating as the Wellcome Sanger Institute.en
dc.description.abstractThe English SARS-CoV-2 epidemic has been affected by the emergence of new viral variants such as B.1.177, Alpha and Delta, and changing restrictions. We used statistical models and the agent-based model Covasim, in June 2021, to estimate B.1.177 to be 20% more transmissible than the wild type, Alpha to be 50–80% more transmissible than B.1.177 and Delta to be 65–90% more transmissible than Alpha. Using these estimates in Covasim (calibrated 1 September 2020 to 20 June 2021), in June 2021, we found that due to the high transmissibility of Delta, resurgence in infections driven by the Delta variant would not be prevented, but would be strongly reduced by delaying the relaxation of restrictions by one month and with continued vaccination.
dc.format.extent19
dc.format.extent1543735
dc.language.isoeng
dc.relation.ispartofPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciencesen
dc.subjectMultivariateregression modellingen
dc.subjectCOVID-19en
dc.subjectAgent-based modellingen
dc.subjectHA Statisticsen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subject3rd-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccHAen
dc.subject.lccRA0421en
dc.titleStatistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventionsen
dc.typeJournal articleen
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.doi10.1098/rsta.2021.0315
dc.description.statusPeer revieweden


This item appears in the following Collection(s)

Show simple item record