Data sources on COVID-19 infection and vaccination in pregnancy on the island of Ireland: strengths, weaknesses, and recommendations for future pandemic preparedness

Melissa Kelly, Joanne Given, Julie Arnott, Helen Dolk, Richard A Greene, Ali S Khashan, Seamus Leonard, Mairéad Madigan, Mary T O'Mahony, Maria Loane, Gillian M Maher

Research output: Contribution to journalArticlepeer-review

Abstract

Background
Monitoring coronavirus disease (COVID-19) infection and vaccination during pregnancy is vital because of the increased susceptibility to severe disease. This article outlines the available data sources on COVID-19 infection and vaccination rates during pregnancy in Northern Ireland (NI) and the Republic of Ireland (ROI) and describes the processes, strengths, and weaknesses of available data.

Methods
Three data sources on COVID-19 vaccination and infection were identified in the ROI: the national computerized infectious disease reporting (CIDR) system used for reporting notifiable infectious diseases, the national dataset of all COVID-19 vaccinations for all residents (COVAX), and a regional Maternal and Newborn Clinical Management System (MN-CMS), which includes data on COVID-19 vaccination and infection. Four data sources were identified in NI: the NI maternity system (NIMATS) records maternity data, including COVID-19 infection and vaccination during pregnancy; datasets of COVID-19 antigen testing performed in hospitals (Pillar 1) and in the community (Pillar 2); and the NI Vaccine Management System dataset of COVID-19 Vaccinations.

Results
In the ROI, the CIDR database allows for the calculation of COVID-19 infection rates in women of reproductive age; however, pregnancy status remains largely unreported. The COVAX dataset includes pregnancy status, although the accuracy depends on whether the pregnancy is known at the time of vaccination. The MN-CMS tracks COVID-19 infection and vaccination during pregnancy. However, there are uncertainties regarding its reliability. In NI, COVID-19 data are available for all pregnant women using Health and Care numbers to link the NIMATS data to testing and vaccination databases.

Conclusions
Both countries track COVID-19 infection and vaccination rates, but the strength of the NI system is the use of unique identification numbers that allow linkage of maternal records to infection and vaccination databases. Both countries face delays in data access, underscoring the need for real-time systems to support future pandemic preparedness.
Original languageEnglish
Article number77
Pages (from-to)77
JournalHRB Open Research
Volume7
Early online date7 Mar 2025
DOIs
Publication statusPublished online - 7 Mar 2025

Bibliographical note

Publisher Copyright:
Copyright: © 2025 Kelly M et al.

Data Access Statement

No data were analysed for this article. Data sources referenced in this paper are not open access. In the ROI, to initiate the process of accessing CIDR data, a data access request form outlining details of the proposed project must be submitted to CIDR’s National Peer Review Coordinator ([email protected]). To access COVAX data, a COVAX Data Share Request form outlining the proposed project, including insurance details (liability), must be submitted to Integrated Information Services (IIS) ([email protected]), the main data analytics service for the HSE. To access MN-CMS data from Cork University Maternity Hospital (CUMH), ethical approval must be sought by the Clinical Research Ethics Committee of Cork Teaching Hospitals (CREC). In NI, access to COVID-19 infection, COVID-19 vaccination, and NIMATS databases were obtained via the HBS (https://bso.hscni.net/).

Keywords

  • COVID-19 infection
  • Maternal and child health
  • Pregnancy
  • Administrative Health Data
  • COVID-19 Vaccines

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