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Prioritizing IVF treatment in the post-COVID 19 era : a predictive modelling study based on UK national data

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dc.contributor.authorBhattacharya, Siladitya
dc.contributor.authorMaheshwari, Abha
dc.contributor.authorRatna, Mariam Begum
dc.contributor.authorvan Eekelen, Rik
dc.contributor.authorMol, Ben Willem
dc.contributor.authorMcLernon, David J
dc.contributor.institutionUniversity of Aberdeen.M&D School Administrationen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Women’s Health Researchen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medicine, Medical Sciences & Nutritionen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.date.accessioned2021-11-23T00:06:30Z
dc.date.available2021-11-23T00:06:30Z
dc.date.embargoedUntil2021-11-23
dc.date.issued2021-03-01
dc.descriptionAcknowledgements We thank the Human Fertilization and Embryological Authority for permission to analyse their database, extracting the requested information and assisting with our queries in an efficient manner. We also acknowledge the data management support of the Grampian Data Safe Haven (DaSH) and the associated financial support of NHS Research Scotland, through NHS Grampian investment in the Grampian DaSH (www.abdn.ac.uk/iahs/facilities/grampian-data-safe-haven.php). Funding: No external funding was received for this study. We plan to disseminate the results to patient organisations and the Human Fertilisation and Embryology Authorityen
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent430503
dc.identifier180500680
dc.identifiercb67b155-f920-4bb6-9d06-608af22c31af
dc.identifier33226080
dc.identifier85102213439
dc.identifier000651812800017
dc.identifier.citationBhattacharya, S, Maheshwari, A, Ratna, M B, van Eekelen, R, Mol, B W & McLernon, D J 2021, 'Prioritizing IVF treatment in the post-COVID 19 era : a predictive modelling study based on UK national data ', Human Reproduction, vol. 36, no. 3, pp. 666–675. https://doi.org/10.1093/humrep/deaa339en
dc.identifier.doi10.1093/humrep/deaa339
dc.identifier.iss3en
dc.identifier.issn0268-1161
dc.identifier.otherORCID: /0000-0001-8905-2429/work/84567907
dc.identifier.otherPubMedCentral: PMC7717242
dc.identifier.otherORCID: /0000-0002-4588-356X/work/159509915
dc.identifier.urihttps://hdl.handle.net/2164/17544
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85102213439&partnerID=8YFLogxKen
dc.identifier.vol36en
dc.language.isoeng
dc.relation.ispartofHuman Reproductionen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectCOVID19en
dc.subjectprediction modelsen
dc.subjectlive birthen
dc.subjectunexplained infertilityen
dc.subjectindertilityen
dc.subjectIVFen
dc.subjectR Medicineen
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titlePrioritizing IVF treatment in the post-COVID 19 era : a predictive modelling study based on UK national dataen
dc.typeJournal articleen

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