No Cover Image

Journal article 1259 views

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

Full text not available from this repository: check for access using links below.

Check full text

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...

Full description

Published in: Health & Place
ISSN: 1353-8292
Published: 2012
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa10162
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2013-07-23T12:02:55Z
last_indexed 2018-02-09T04:38:46Z
id cronfa10162
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2017-12-28T10:46:59.5074498</datestamp><bib-version>v2</bib-version><id>10162</id><entry>2012-03-21</entry><title>Protecting health data privacy while using residence-based environment and demographic data</title><swanseaauthors><author><sid>e81e94dea293640575619d15baf34a35</sid><ORCID>0000-0002-4483-0845</ORCID><firstname>Sarah</firstname><surname>Rodgers</surname><name>Sarah Rodgers</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>f21f39e2e64b8db709089779ef4f01d0</sid><ORCID>0000-0002-4675-6271</ORCID><firstname>Joanne</firstname><surname>Demmler</surname><name>Joanne Demmler</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2012-03-21</date><deptcode>HDAT</deptcode><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 speci&#xFB01;c to each residence. Population density and environment data wereanonymously linked to individual-level demographic data using a split &#xFB01;le method and residentialanonymous linking &#xFB01;elds. Access to the nearest park or playground was calculated for each residence;children in deprived areas have increased access compared to those in af&#xFB02;uent areas. This method has thepotential to be used to evaluate natural experiments and complex environmental health interventions.</abstract><type>Journal Article</type><journal>Health &amp; Place</journal><volume>18</volume><journalNumber>2</journalNumber><paginationStart>209</paginationStart><paginationEnd>217</paginationEnd><publisher/><issnPrint>1353-8292</issnPrint><keywords/><publishedDay>30</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2012</publishedYear><publishedDate>2012-09-30</publishedDate><doi>10.1016/j.healthplace.2011.09.006</doi><url/><notes></notes><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2017-12-28T10:46:59.5074498</lastEdited><Created>2012-03-21T16:17:17.0000000</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Sarah</firstname><surname>Rodgers</surname><orcid>0000-0002-4483-0845</orcid><order>1</order></author><author><firstname>Joanne</firstname><surname>Demmler</surname><orcid>0000-0002-4675-6271</orcid><order>2</order></author><author><firstname>Rohan</firstname><surname>Dsilva</surname><order>3</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2017-12-28T10:46:59.5074498 v2 10162 2012-03-21 Protecting health data privacy while using residence-based environment and demographic data e81e94dea293640575619d15baf34a35 0000-0002-4483-0845 Sarah Rodgers Sarah Rodgers true false f21f39e2e64b8db709089779ef4f01d0 0000-0002-4675-6271 Joanne Demmler Joanne Demmler true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2012-03-21 HDAT 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. Journal Article Health & Place 18 2 209 217 1353-8292 30 9 2012 2012-09-30 10.1016/j.healthplace.2011.09.006 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2017-12-28T10:46:59.5074498 2012-03-21T16:17:17.0000000 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Sarah Rodgers 0000-0002-4483-0845 1 Joanne Demmler 0000-0002-4675-6271 2 Rohan Dsilva 3 Ronan Lyons 0000-0001-5225-000X 4
title Protecting health data privacy while using residence-based environment and demographic data
spellingShingle Protecting health data privacy while using residence-based environment and demographic data
Sarah Rodgers
Joanne Demmler
Ronan Lyons
title_short Protecting health data privacy while using residence-based environment and demographic data
title_full Protecting health data privacy while using residence-based environment and demographic data
title_fullStr Protecting health data privacy while using residence-based environment and demographic data
title_full_unstemmed Protecting health data privacy while using residence-based environment and demographic data
title_sort Protecting health data privacy while using residence-based environment and demographic data
author_id_str_mv e81e94dea293640575619d15baf34a35
f21f39e2e64b8db709089779ef4f01d0
83efcf2a9dfcf8b55586999d3d152ac6
author_id_fullname_str_mv e81e94dea293640575619d15baf34a35_***_Sarah Rodgers
f21f39e2e64b8db709089779ef4f01d0_***_Joanne Demmler
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
author Sarah Rodgers
Joanne Demmler
Ronan Lyons
author2 Sarah Rodgers
Joanne Demmler
Rohan Dsilva
Ronan Lyons
format Journal article
container_title Health & Place
container_volume 18
container_issue 2
container_start_page 209
publishDate 2012
institution Swansea University
issn 1353-8292
doi_str_mv 10.1016/j.healthplace.2011.09.006
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 0
active_str 0
description 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.
published_date 2012-09-30T03:11:32Z
_version_ 1763750017892352000
score 11.01628

Similar Items