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Combining large linked social service microdata and geospatial data to identify vulnerable populations in New Zealand

In: Big Data Applications in Geography and Planning

Author

Listed:
  • Lukas Marek
  • James Greenwell
  • Matthew Hobbs
  • John McCarthy
  • Jesse Wiki
  • Malcolm Campbell
  • Simon Kingham
  • Melanie Tomintz

Abstract

New Zealand has a large research database called the Integrated Data Infrastructure (IDI). The IDI contains linked microdata about people and households from a wide range of authoritative datasets and surveys originating in and outside government. The GeoHealth Laboratory at the University of Canterbury in collaboration with the New Zealand Ministry of Health supports policymakers and stakeholders across the New Zealand health system through several IDI research projects. One such project aims to determine how an individual’s place of residence and the frequency of residential movement can affect access to regionally-provided health and community services. The presented case study examines the relationships between limited or irregular interaction with health services and potential drivers such as low-engagement, non-enrolment or transience during the study period (August 2013 - July 2018).

Suggested Citation

  • Lukas Marek & James Greenwell & Matthew Hobbs & John McCarthy & Jesse Wiki & Malcolm Campbell & Simon Kingham & Melanie Tomintz, 2021. "Combining large linked social service microdata and geospatial data to identify vulnerable populations in New Zealand," Chapters, in: Mark Birkin & Graham Clarke & Jonathan Corcoran & Robert Stimson (ed.), Big Data Applications in Geography and Planning, chapter 5, pages 52-63, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:19400_5
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    Cited by:

    1. M, Hobbs & N, Bowden & L, Marek & J, Wiki & J, Kokaua & R, Theodore & T, Ruhe & J, Boden & H, Thabrew & S, Hetrick & B, Milne, 2023. "The environment a young person grows up in is associated with their mental health: A nationwide geospatial study using the integrated data infrastructure, New Zealand," Social Science & Medicine, Elsevier, vol. 326(C).

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