Journal article 1457 views
Protecting health data privacy while using residence-based environment and demographic data
,
Joanne Demmler ,
Rohan Dsilva,
Ronan Lyons
Health & Place, Volume: 18, Issue: 2, Pages: 209 - 217
Swansea University Authors:
Sarah Rodgers , Joanne Demmler , Ronan Lyons
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.healthplace.2011.09.006
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...
| Published in: | Health & Place |
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| ISSN: | 1353-8292 |
| Published: |
2012
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa10162 |
| 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. |
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| College: |
Faculty of Medicine, Health and Life Sciences |
| Issue: |
2 |
| Start Page: |
209 |
| End Page: |
217 |