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Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.

Rowena Griffiths, Ashley Akbari Orcid Logo, Daniela Schlueter, David Taylor-Robinson, David Tucker

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

Swansea University Author: Ashley Akbari Orcid Logo

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DOI (Published version): 10.23889/ijpds.v3i4.701

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Banff, Canada IPDLN 2018 conference 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa44392
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first_indexed 2018-09-18T18:57:00Z
last_indexed 2018-10-16T13:46:26Z
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spelling 2018-10-16T11:11:41.6251833 v2 44392 2018-09-18 Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources. aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-09-18 HDAT Conference Paper/Proceeding/Abstract International Journal of Population Data Science 3 4 IPDLN 2018 conference Banff, Canada 2399-4908 28 8 2018 2018-08-28 10.23889/ijpds.v3i4.701 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2018-10-16T11:11:41.6251833 2018-09-18T17:13:37.5907448 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Rowena Griffiths 1 Ashley Akbari 0000-0003-0814-0801 2 Daniela Schlueter 3 David Taylor-Robinson 4 David Tucker 5 0044392-16102018111100.pdf 44392.pdf 2018-10-16T11:11:00.5870000 Output 203050 application/pdf Version of Record true 2018-10-16T00:00:00.0000000 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. true eng
title Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.
spellingShingle Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.
Ashley Akbari
title_short Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.
title_full Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.
title_fullStr Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.
title_full_unstemmed Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.
title_sort Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.
author_id_str_mv aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Ashley Akbari
author2 Rowena Griffiths
Ashley Akbari
Daniela Schlueter
David Taylor-Robinson
David Tucker
format Conference Paper/Proceeding/Abstract
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.v3i4.701
publisher IPDLN 2018 conference
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 1
active_str 0
published_date 2018-08-28T03:55:35Z
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score 11.014067

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