Individual, household structure, and socioeconomic predictors of COVID-19 testing and vaccination outcomes: a whole population linked data analysis

Ethnic inequity was persistent and likely partly explained by policy-modifiable social factors, despite the relatively minor population health impacts of COVID-19 in New Zealand. We also demonstrate how a range of socioeconomic determinants predict COVID-19 outcomes in different ways.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2025-05-27
DOI
https://doi.org/10.23889/ijpds.v10i1.2930
Citations
2
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
4.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Individual, household structure, and socioeconomic predictors of COVID-19 testing and vaccination outcomes: a whole population linked data analysis

Nicole Satherley, Andrew Sporle
2 citations
International Journal for Population Data Science
Health disparities and outcomes
4.33
article

Individual, household structure, and socioeconomic predictors of COVID-19 testing and vaccination outcomes: a whole population linked data analysis

Nicole Satherley, Andrew Sporle
article en
2 citations

Abstract

Ethnic inequity was persistent and likely partly explained by policy-modifiable social factors, despite the relatively minor population health impacts of COVID-19 in New Zealand. We also demonstrate how a range of socioeconomic determinants predict COVID-19 outcomes in different ways.

International Journal for Population Data ScienceVol. 10(1)
University of Auckland (NZ)
Health Research Council of New Zealand
No poverty
Openalex Percentile: Top 7%
Health disparities and outcomes
4.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.