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Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK

Alex Lench, Malorie Perry Orcid Logo, Rhodri D. Johnson, Rich Fry Orcid Logo, Gill Richardson, Ronan Lyons Orcid Logo, Ashley Akbari, Adrian Edwards Orcid Logo, Brendan Collins Orcid Logo, Natalie Joseph-Williams, Alison Cooper, Simon Cottrell, Rhodri Johnson, Ashley Akbari Orcid Logo

Vaccines, Volume: 11, Issue: 3, Start page: 604

Swansea University Authors: Rich Fry Orcid Logo, Ronan Lyons Orcid Logo, Rhodri Johnson, Ashley Akbari Orcid Logo

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DOI (Published version): 10.3390/vaccines11030604

Published in: Vaccines
ISSN: 2076-393X
Published: MDPI AG 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa62913
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Controlling COVID-19 through enhanced population surveillance and intervention (Con-COV): a platform approach, funded by the UKRI Medical Research Council, grant reference: MR/V028367/1. This work was supported by Health Data Research (HDR) UK [HDR-9006] which receives its funding from the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Wellcome Trust; Administrative Data Research (ADR) UK which is funded by the Economic and Social Research Council [grant ES/S007393/1]. 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spelling 2023-04-19T10:25:12.7465272 v2 62913 2023-03-10 Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK d499b898d447b62c81b2c122598870e0 0000-0002-7968-6679 Rich Fry Rich Fry true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 5f97fd65ef8cf66db750f645f115454c Rhodri Johnson Rhodri Johnson true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2023-03-10 HDAT Journal Article Vaccines 11 3 604 MDPI AG 2076-393X 7 3 2023 2023-03-07 10.3390/vaccines11030604 http://dx.doi.org/10.3390/vaccines11030604 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University The data used for this research were made available through the Con-COV collaboration. Controlling COVID-19 through enhanced population surveillance and intervention (Con-COV): a platform approach, funded by the UKRI Medical Research Council, grant reference: MR/V028367/1. This work was supported by Health Data Research (HDR) UK [HDR-9006] which receives its funding from the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Wellcome Trust; Administrative Data Research (ADR) UK which is funded by the Economic and Social Research Council [grant ES/S007393/1]. This specific project around vaccine equity was funded by the Wales COVID-19 Evidence Centre (WCEC). 2023-04-19T10:25:12.7465272 2023-03-10T18:52:21.0462691 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Alex Lench 1 Malorie Perry 0000-0003-1397-5934 2 Rhodri D. Johnson 3 Rich Fry 0000-0002-7968-6679 4 Gill Richardson 5 Ronan Lyons 0000-0001-5225-000X 6 Ashley Akbari 7 Adrian Edwards 0000-0002-6228-4446 8 Brendan Collins 0000-0002-3023-8189 9 Natalie Joseph-Williams 10 Alison Cooper 11 Simon Cottrell 12 Rhodri Johnson 13 Ashley Akbari 0000-0003-0814-0801 14 62913__27092__64d2c53a40704bd9841bc4b1c058221a.pdf 62913.pdf 2023-04-18T11:35:06.9831975 Output 996084 application/pdf Version of Record true 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license true eng https://creativecommons.org/licenses/by/4.0/
title Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK
spellingShingle Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK
Rich Fry
Ronan Lyons
Rhodri Johnson
Ashley Akbari
title_short Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK
title_full Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK
title_fullStr Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK
title_full_unstemmed Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK
title_sort Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK
author_id_str_mv d499b898d447b62c81b2c122598870e0
83efcf2a9dfcf8b55586999d3d152ac6
5f97fd65ef8cf66db750f645f115454c
aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv d499b898d447b62c81b2c122598870e0_***_Rich Fry
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
5f97fd65ef8cf66db750f645f115454c_***_Rhodri Johnson
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Rich Fry
Ronan Lyons
Rhodri Johnson
Ashley Akbari
author2 Alex Lench
Malorie Perry
Rhodri D. Johnson
Rich Fry
Gill Richardson
Ronan Lyons
Ashley Akbari
Adrian Edwards
Brendan Collins
Natalie Joseph-Williams
Alison Cooper
Simon Cottrell
Rhodri Johnson
Ashley Akbari
format Journal article
container_title Vaccines
container_volume 11
container_issue 3
container_start_page 604
publishDate 2023
institution Swansea University
issn 2076-393X
doi_str_mv 10.3390/vaccines11030604
publisher MDPI AG
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
url http://dx.doi.org/10.3390/vaccines11030604
document_store_str 1
active_str 0
published_date 2023-03-07T04:23:18Z
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