No Cover Image

Conference Paper/Proceeding/Abstract 91 views 24 downloads

Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights

Jonathan Scourfield, Fiona Lugg-Widger, Ashley Akbari Orcid Logo, Rebecca Cannings-John, Matt Curds, Jose-Luis Fernandez, Mel Meindl, Lisa Trigg, Nell Warner, Paul Willis, Miranda Evans, Oliver Cumming, Julie Wych

International Journal of Population Data Science, Volume: 10, Issue: 4

Swansea University Author: Ashley Akbari Orcid Logo

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa70536
first_indexed 2025-09-29T22:01:38Z
last_indexed 2025-10-07T04:21:40Z
id cronfa70536
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-10-06T14:35:26.9119288</datestamp><bib-version>v2</bib-version><id>70536</id><entry>2025-09-29</entry><title>Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights</title><swanseaauthors><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-09-29</date><deptcode>MEDS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>International Journal of Population Data Science</journal><volume>10</volume><journalNumber>4</journalNumber><paginationStart/><paginationEnd/><publisher>Swansea University</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>28</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-08-28</publishedDate><doi>10.23889/ijpds.v10i4.3091</doi><url/><notes>Abstract</notes><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2025-10-06T14:35:26.9119288</lastEdited><Created>2025-09-29T21:08:35.9845397</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>Jonathan</firstname><surname>Scourfield</surname><order>1</order></author><author><firstname>Fiona</firstname><surname>Lugg-Widger</surname><order>2</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>3</order></author><author><firstname>Rebecca</firstname><surname>Cannings-John</surname><order>4</order></author><author><firstname>Matt</firstname><surname>Curds</surname><order>5</order></author><author><firstname>Jose-Luis</firstname><surname>Fernandez</surname><order>6</order></author><author><firstname>Mel</firstname><surname>Meindl</surname><order>7</order></author><author><firstname>Lisa</firstname><surname>Trigg</surname><order>8</order></author><author><firstname>Nell</firstname><surname>Warner</surname><order>9</order></author><author><firstname>Paul</firstname><surname>Willis</surname><order>10</order></author><author><firstname>Miranda</firstname><surname>Evans</surname><order>11</order></author><author><firstname>Oliver</firstname><surname>Cumming</surname><order>12</order></author><author><firstname>Julie</firstname><surname>Wych</surname><order>13</order></author></authors><documents><document><filename>70536__35260__440be5af331b4da1bbf4b7055cde7140.pdf</filename><originalFilename>70536.VoR.pdf</originalFilename><uploaded>2025-10-06T14:33:46.6931670</uploaded><type>Output</type><contentLength>192594</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9;The Authors. Open Access under CC BY 4.0 license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/deed.en</licence></document></documents><OutputDurs/></rfc1807>
spelling 2025-10-06T14:35:26.9119288 v2 70536 2025-09-29 Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2025-09-29 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 10 4 Swansea University 2399-4908 28 8 2025 2025-08-28 10.23889/ijpds.v10i4.3091 Abstract COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2025-10-06T14:35:26.9119288 2025-09-29T21:08:35.9845397 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Jonathan Scourfield 1 Fiona Lugg-Widger 2 Ashley Akbari 0000-0003-0814-0801 3 Rebecca Cannings-John 4 Matt Curds 5 Jose-Luis Fernandez 6 Mel Meindl 7 Lisa Trigg 8 Nell Warner 9 Paul Willis 10 Miranda Evans 11 Oliver Cumming 12 Julie Wych 13 70536__35260__440be5af331b4da1bbf4b7055cde7140.pdf 70536.VoR.pdf 2025-10-06T14:33:46.6931670 Output 192594 application/pdf Version of Record true ©The Authors. Open Access under CC BY 4.0 license. true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights
spellingShingle Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights
Ashley Akbari
title_short Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights
title_full Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights
title_fullStr Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights
title_full_unstemmed Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights
title_sort Identifying patterns, inequalities, and opportunities in adult social care through national linked data insights
author_id_str_mv aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Ashley Akbari
author2 Jonathan Scourfield
Fiona Lugg-Widger
Ashley Akbari
Rebecca Cannings-John
Matt Curds
Jose-Luis Fernandez
Mel Meindl
Lisa Trigg
Nell Warner
Paul Willis
Miranda Evans
Oliver Cumming
Julie Wych
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 10
container_issue 4
publishDate 2025
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v10i4.3091
publisher Swansea University
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 - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
published_date 2025-08-28T07:53:03Z
_version_ 1850744591780675584
score 11.08895