International Journal of Population Data Science (Dec 2022)

Using data linkage to monitor COVID-19 vaccination

  • Tom Eitelhuber,
  • Sera Ngeh,
  • Lauren Bloomfield,
  • Bhaval Chandaria,
  • Paul Effler

DOI
https://doi.org/10.23889/ijpds.v5i4.1730
Journal volume & issue
Vol. 5, no. 4

Abstract

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The COVID-19 Vaccination Linked Data Repository (CVLDR) was established in 2021 to assist with the implementation and management of the COVID-19 vaccination program in the State of Western Australia (WA). The CVLDR contains a number of datasets including the Australian Immunisation Register, hospital admissions, emergency department attendances, notifiable infectious disease, and laboratory data. Datasets in the CVLDR are linked using a probabilistic method at the WA Department of Health. Quality assurance mechanisms have been established to identify and mitigate potential errors in the linkage. Each of the datasets has varying degrees of data quality and completeness, however most are of high standard, underpinned by legislation. The linking of the datasets within the CVLDR has allowed for increased public health utility in the immunisation program including the areas of vaccine safety, effectiveness, and coverage.

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