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Protecting health data privacy while using residence-based environment and demographic data

Sarah Rodgers Orcid Logo, Joanne Demmler Orcid Logo, Rohan Dsilva, Ronan Lyons Orcid Logo

Health & Place, Volume: 18, Issue: 2, Pages: 209 - 217

Swansea University Authors: Sarah Rodgers Orcid Logo, Joanne Demmler Orcid Logo, Ronan Lyons Orcid Logo

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Abstract

Spatial analyses of environment and health data are often made using point address data, despite therisk of identity disclosure. We describe how geospatial environment and non-spatial health data can belinked anonymously, thereby maintaining geoprivacy. High resolution environment data and popula-ti...

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Published in: Health & Place
ISSN: 1353-8292
Published: 2012
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URI: https://cronfa.swan.ac.uk/Record/cronfa10162
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Abstract: Spatial analyses of environment and health data are often made using point address data, despite therisk of identity disclosure. We describe how geospatial environment and non-spatial health data can belinked anonymously, thereby maintaining geoprivacy. High resolution environment data and popula-tion density were calculated specific to each residence. Population density and environment data wereanonymously linked to individual-level demographic data using a split file method and residentialanonymous linking fields. Access to the nearest park or playground was calculated for each residence;children in deprived areas have increased access compared to those in affluent areas. This method has thepotential to be used to evaluate natural experiments and complex environmental health interventions.
College: Faculty of Medicine, Health and Life Sciences
Issue: 2
Start Page: 209
End Page: 217