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Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data / Richard, Fry

International Journal of Population Data Science, Volume: 3, Issue: 4

Swansea University Author: Richard, Fry

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Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa50031
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first_indexed 2019-04-18T12:09:43Z
last_indexed 2019-05-16T14:32:40Z
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spelling 2019-05-16T10:01:12.8307590 v2 50031 2019-04-17 Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data d499b898d447b62c81b2c122598870e0 0000-0002-7968-6679 Richard Fry Richard Fry true false 2019-04-17 BMS Journal Article International Journal of Population Data Science 3 4 2399-4908 5 9 2018 2018-09-05 10.23889/ijpds.v3i4.893 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2019-05-16T10:01:12.8307590 2019-04-17T12:00:57.4156164 Swansea University Medical School Medicine Joe Hollinghurst 1 Richard Fry 0000-0002-7968-6679 2 Ashley Akbari 3 Sarah Rodgers 4 0050031-16052019100020.pdf 50031.pdf 2019-05-16T10:00:20.4730000 Output 201647 application/pdf Version of Record true 2019-05-15T00:00:00.0000000 Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). true eng
title Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data
spellingShingle Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data
Richard, Fry
title_short Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data
title_full Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data
title_fullStr Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data
title_full_unstemmed Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data
title_sort Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data
author_id_str_mv d499b898d447b62c81b2c122598870e0
author_id_fullname_str_mv d499b898d447b62c81b2c122598870e0_***_Richard, Fry
author Richard, Fry
format Journal article
container_title International Journal of Population Data Science
container_volume 3
container_issue 4
publishDate 2018
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v3i4.893
college_str Swansea University Medical School
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hierarchy_top_id swanseauniversitymedicalschool
hierarchy_top_title Swansea University Medical School
hierarchy_parent_id swanseauniversitymedicalschool
hierarchy_parent_title Swansea University Medical School
department_str Medicine{{{_:::_}}}Swansea University Medical School{{{_:::_}}}Medicine
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published_date 2018-09-05T04:09:27Z
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