No Cover Image

Conference Paper/Proceeding/Abstract 78 views 6 downloads

Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.

Jun Han, Ashley Akbari Orcid Logo, Fatemeh Torabi Orcid Logo, Rowena Griffiths, Jane Lyons, Martin Rolles, Catherine Arnold, Dyfed Wyn Huws, Mark Lawler, Ronan Lyons Orcid Logo

International Journal of Population Data Science, Volume: 7, Issue: 3

Swansea University Authors: Jun Han, Ashley Akbari Orcid Logo, Fatemeh Torabi Orcid Logo, Rowena Griffiths, Jane Lyons, Ronan Lyons Orcid Logo

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61246
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2022-09-28T14:34:01Z
last_indexed 2023-01-13T19:21:53Z
id cronfa61246
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-10T17:03:35.1868437</datestamp><bib-version>v2</bib-version><id>61246</id><entry>2022-09-15</entry><title>Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.</title><swanseaauthors><author><sid>4594ac13d8f8030ac682224965f87f2b</sid><firstname>Jun</firstname><surname>Han</surname><name>Jun Han</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>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>381464f639f98bd388c29326ca7f862c</sid><firstname>Rowena</firstname><surname>Griffiths</surname><name>Rowena Griffiths</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>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>2022-09-15</date><deptcode>HDAT</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>International Journal of Population Data Science</journal><volume>7</volume><journalNumber>3</journalNumber><paginationStart/><paginationEnd/><publisher>Swansea University</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>25</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-08-25</publishedDate><doi>10.23889/ijpds.v7i3.2108</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-10-10T17:03:35.1868437</lastEdited><Created>2022-09-15T22:34:14.8531318</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>Jun</firstname><surname>Han</surname><order>1</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>2</order></author><author><firstname>Fatemeh</firstname><surname>Torabi</surname><orcid>0000-0002-5853-4625</orcid><order>3</order></author><author><firstname>Rowena</firstname><surname>Griffiths</surname><order>4</order></author><author><firstname>Jane</firstname><surname>Lyons</surname><orcid/><order>5</order></author><author><firstname>Martin</firstname><surname>Rolles</surname><order>6</order></author><author><firstname>Catherine</firstname><surname>Arnold</surname><order>7</order></author><author><firstname>Dyfed Wyn</firstname><surname>Huws</surname><order>8</order></author><author><firstname>Mark</firstname><surname>Lawler</surname><order>9</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>10</order></author></authors><documents><document><filename>61246__25251__800daa4f47c44e2cab2173ca1a58e0b7.pdf</filename><originalFilename>61246_VoR.pdf</originalFilename><uploaded>2022-09-28T15:34:25.2669506</uploaded><type>Output</type><contentLength>215603</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>2022 &#xA9; The Authors. Open Access under CC BY 4.0</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/deed.en</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-10T17:03:35.1868437 v2 61246 2022-09-15 Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients. 4594ac13d8f8030ac682224965f87f2b Jun Han Jun Han true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false f569591e1bfb0e405b8091f99fec45d3 0000-0002-5853-4625 Fatemeh Torabi Fatemeh Torabi true false 381464f639f98bd388c29326ca7f862c Rowena Griffiths Rowena Griffiths true false 1b74fa5125a88451c52c45bcf20e0b47 Jane Lyons Jane Lyons true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2022-09-15 HDAT Conference Paper/Proceeding/Abstract International Journal of Population Data Science 7 3 Swansea University 2399-4908 25 8 2022 2022-08-25 10.23889/ijpds.v7i3.2108 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2022-10-10T17:03:35.1868437 2022-09-15T22:34:14.8531318 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Jun Han 1 Ashley Akbari 0000-0003-0814-0801 2 Fatemeh Torabi 0000-0002-5853-4625 3 Rowena Griffiths 4 Jane Lyons 5 Martin Rolles 6 Catherine Arnold 7 Dyfed Wyn Huws 8 Mark Lawler 9 Ronan Lyons 0000-0001-5225-000X 10 61246__25251__800daa4f47c44e2cab2173ca1a58e0b7.pdf 61246_VoR.pdf 2022-09-28T15:34:25.2669506 Output 215603 application/pdf Version of Record true 2022 © The Authors. Open Access under CC BY 4.0 true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.
spellingShingle Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.
Jun Han
Ashley Akbari
Fatemeh Torabi
Rowena Griffiths
Jane Lyons
Ronan Lyons
title_short Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.
title_full Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.
title_fullStr Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.
title_full_unstemmed Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.
title_sort Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.
author_id_str_mv 4594ac13d8f8030ac682224965f87f2b
aa1b025ec0243f708bb5eb0a93d6fb52
f569591e1bfb0e405b8091f99fec45d3
381464f639f98bd388c29326ca7f862c
1b74fa5125a88451c52c45bcf20e0b47
83efcf2a9dfcf8b55586999d3d152ac6
author_id_fullname_str_mv 4594ac13d8f8030ac682224965f87f2b_***_Jun Han
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
f569591e1bfb0e405b8091f99fec45d3_***_Fatemeh Torabi
381464f639f98bd388c29326ca7f862c_***_Rowena Griffiths
1b74fa5125a88451c52c45bcf20e0b47_***_Jane Lyons
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
author Jun Han
Ashley Akbari
Fatemeh Torabi
Rowena Griffiths
Jane Lyons
Ronan Lyons
author2 Jun Han
Ashley Akbari
Fatemeh Torabi
Rowena Griffiths
Jane Lyons
Martin Rolles
Catherine Arnold
Dyfed Wyn Huws
Mark Lawler
Ronan Lyons
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 7
container_issue 3
publishDate 2022
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v7i3.2108
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 2022-08-25T04:11:50Z
_version_ 1756872217214320640
score 10.92735