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COVID-19 and influenza vaccine uptake among pregnant women in national cohorts of England and Wales

  • Xinchun Gu
  • , Utkarsh Agrawal
  • , William Midgley
  • , Stuart Bedston
  • , Sneha N. Anand
  • , Rosalind Goudie
  • , Rachel Byford
  • , Mark Joy
  • , Gavin Jamie
  • , Uy Hoang
  • , Jose M. Ordóñez-Mena
  • , Chris Robertson
  • , F. D. Richard Hobbs
  • , Ashley Akbari
  • , Aziz Sheikh
  • , Simon de Lusignan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Vaccines against COVID-19 and influenza can reduce the adverse outcomes caused by infections during pregnancy, but vaccine uptake among pregnant women has been suboptimal. We examined the COVID-19 and influenza vaccine uptake and disparities in pregnant women during the COVID-19 pandemic to inform vaccination interventions. We used data from the Oxford-Royal College of General Practitioners Research and Surveillance Centre database in England and the Secure Anonymised Information Linkage Databank in Wales. The uptake of at least one dose of vaccine was 40.2% for COVID-19 and 41.8% for influenza among eligible pregnant women. We observed disparities in COVID-19 and influenza vaccine uptake, with socioeconomically deprived and ethnic minority groups showing lower vaccination rates. The suboptimal uptake of COVID-19 and influenza vaccines, especially in those from socioeconomically deprived backgrounds and Black, mixed or other ethnic groups, underscores the necessity for interventions to reduce vaccine hesitancy and enhance acceptance in pregnant women.
Original languageEnglish
Article number147
Number of pages9
Journalnpj Vaccines
Volume9
DOIs
Publication statusPublished - 14 Aug 2024

Funding

This research is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant ref MC_PC_20058). This work was also supported by The Alan Turing Institute via ‘Towards Turing 2.0’ EPSRC Grant Funding. This work was supported by the Con-COV team funded by the Medical Research Council (grant number: MR/V028367/1). This work was supported by Health Data Research UK, which receives its funding from HDR UK Ltd (HDR-9006), funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), and the Wellcome Trust. Data and Connectivity: COVID-19 Vaccines Pharmacovigilance National Core Study—Uptake, safety and effectiveness of COVID-19 vaccines in pregnancy; children and young people; those receiving booster doses; and disease caused by different variants (2021.0158) is a partnership between the University of Edinburgh, University of Oxford, University of Strathclyde, Queen’s University Belfast, Swansea University, Imperial College London and the Office for National Statistics. Additionally, the authors acknowledge 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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • epidemiolgy
  • risk factors
  • vaccine uptake
  • COVID-19 vaccine
  • influenza vaccine
  • vaccine hesitancy

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