Journal article 1775 views 179 downloads
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing.
International Journal of Population Data Science, Volume: 3, Issue: 2
Swansea University Authors:
Fatemeh Torabi , Ashley Akbari
, Jane Lyons, Mathilde Castagnet, Ronan Lyons
-
PDF | Version of Record
Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND).
Download (234.77KB)
DOI (Published version): 10.23889/ijpds.v3i2.496
Abstract
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing.
| Published in: | International Journal of Population Data Science |
|---|---|
| ISSN: | 2399-4908 |
| Published: |
Banff, Canada
Swansea University
2018
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa43464 |
| first_indexed |
2018-08-15T12:57:31Z |
|---|---|
| last_indexed |
2018-10-16T13:44:05Z |
| id |
cronfa43464 |
| recordtype |
SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2018-10-16T12:00:50.2730522</datestamp><bib-version>v2</bib-version><id>43464</id><entry>2018-08-15</entry><title>A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing.</title><swanseaauthors><author><sid>f569591e1bfb0e405b8091f99fec45d3</sid><ORCID>0000-0002-5853-4625</ORCID><firstname>Fatemeh</firstname><surname>Torabi</surname><name>Fatemeh Torabi</name><active>true</active><ethesisStudent>false</ethesisStudent></author><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><author><sid>1b74fa5125a88451c52c45bcf20e0b47</sid><ORCID/><firstname>Jane</firstname><surname>Lyons</surname><name>Jane Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>68a0f78b90d27f671c9194ee7ee3e244</sid><ORCID/><firstname>Mathilde</firstname><surname>Castagnet</surname><name>Mathilde Castagnet</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-08-15</date><deptcode>MEDS</deptcode><abstract/><type>Journal Article</type><journal>International Journal of Population Data Science</journal><volume>3</volume><journalNumber>2</journalNumber><publisher>Swansea University</publisher><placeOfPublication>Banff, Canada</placeOfPublication><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>30</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-08-30</publishedDate><doi>10.23889/ijpds.v3i2.496</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-10-16T12:00:50.2730522</lastEdited><Created>2018-08-15T08:50:39.4379343</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>Fatemeh</firstname><surname>Torabi</surname><orcid>0000-0002-5853-4625</orcid><order>1</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>2</order></author><author><firstname>Jane</firstname><surname>Lyons</surname><orcid/><order>3</order></author><author><firstname>Mathilde</firstname><surname>Castagnet</surname><orcid/><order>4</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><order>5</order></author></authors><documents><document><filename>0043464-04092018131907.pdf</filename><originalFilename>43464.pdf</originalFilename><uploaded>2018-09-04T13:19:07.9700000</uploaded><type>Output</type><contentLength>212001</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-09-04T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
| spelling |
2018-10-16T12:00:50.2730522 v2 43464 2018-08-15 A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. f569591e1bfb0e405b8091f99fec45d3 0000-0002-5853-4625 Fatemeh Torabi Fatemeh Torabi true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 1b74fa5125a88451c52c45bcf20e0b47 Jane Lyons Jane Lyons true false 68a0f78b90d27f671c9194ee7ee3e244 Mathilde Castagnet Mathilde Castagnet true false 83efcf2a9dfcf8b55586999d3d152ac6 Ronan Lyons Ronan Lyons true false 2018-08-15 MEDS Journal Article International Journal of Population Data Science 3 2 Swansea University Banff, Canada 2399-4908 30 8 2018 2018-08-30 10.23889/ijpds.v3i2.496 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2018-10-16T12:00:50.2730522 2018-08-15T08:50:39.4379343 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Fatemeh Torabi 0000-0002-5853-4625 1 Ashley Akbari 0000-0003-0814-0801 2 Jane Lyons 3 Mathilde Castagnet 4 Ronan Lyons 5 0043464-04092018131907.pdf 43464.pdf 2018-09-04T13:19:07.9700000 Output 212001 application/pdf Version of Record true 2018-09-04T00:00:00.0000000 Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). true eng http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| title |
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. |
| spellingShingle |
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. Fatemeh Torabi Ashley Akbari Jane Lyons Mathilde Castagnet Ronan Lyons |
| title_short |
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. |
| title_full |
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. |
| title_fullStr |
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. |
| title_full_unstemmed |
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. |
| title_sort |
A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. |
| author_id_str_mv |
f569591e1bfb0e405b8091f99fec45d3 aa1b025ec0243f708bb5eb0a93d6fb52 1b74fa5125a88451c52c45bcf20e0b47 68a0f78b90d27f671c9194ee7ee3e244 83efcf2a9dfcf8b55586999d3d152ac6 |
| author_id_fullname_str_mv |
f569591e1bfb0e405b8091f99fec45d3_***_Fatemeh Torabi aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari 1b74fa5125a88451c52c45bcf20e0b47_***_Jane Lyons 68a0f78b90d27f671c9194ee7ee3e244_***_Mathilde Castagnet 83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons |
| author |
Fatemeh Torabi Ashley Akbari Jane Lyons Mathilde Castagnet Ronan Lyons |
| author2 |
Fatemeh Torabi Ashley Akbari Jane Lyons Mathilde Castagnet Ronan Lyons |
| format |
Journal article |
| container_title |
International Journal of Population Data Science |
| container_volume |
3 |
| container_issue |
2 |
| publishDate |
2018 |
| institution |
Swansea University |
| issn |
2399-4908 |
| doi_str_mv |
10.23889/ijpds.v3i2.496 |
| 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 - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
| document_store_str |
1 |
| active_str |
0 |
| published_date |
2018-08-30T15:14:16Z |
| _version_ |
1850681754193494016 |
| score |
11.08899 |

