Cohort Profile: the COVID-19 in Pregnancy in Scotland (COPS) dynamic cohort of pregnant women to assess effects of viral and vaccine exposures on pregnancy
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Stock , S J , Carruthers , J , Denny , C , Donaghy , J , Goulding , A , Hopcroft , L E M , Hopkins , L , Mulholland , R , Agrawal , U , Auyeung , B , Katikireddi , S V , McCowan , C , Murray , J , Robertson , C , Sheikh , A , Shi , T , Simpson , C R , Vasileiou , E & Wood , R 2022 , ' Cohort Profile: the COVID-19 in Pregnancy in Scotland (COPS) dynamic cohort of pregnant women to assess effects of viral and vaccine exposures on pregnancy ' , International Journal of Epidemiology , vol. Advance Article , dyab243 . https://doi.org/10.1093/ije/dyab243
International Journal of Epidemiology
Copyright The Author(s) 2022. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
DescriptionFunding: EAVE II is funded by the Medical Research Council (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 EAVE II support has been provided through the Scottish Government DG Health and Social Care. COPS receive additional funding from Tommy’s Charity (Charity number 1060508; SC039280) and is supported by Sands (Charity number 299679). S.J.S. is supported by the Wellcome Trust (209560/Z/17/Z). S.V.K. acknowledges funding from an NRS Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_00022/2) and the Scottish Government Chief Scientist Office (SPHSU17). B.A. was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.813546, the Baily Thomas Charitable Fund, the Data Driven Innovation and the UK Economic and Social Research Council (ES/N018877/1) during the course of this work.
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