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  5. Community-level characteristics of COVID-19 vaccine hesitancy in England: A nationwide cross-sectional study
 
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Community-level characteristics of COVID-19 vaccine hesitancy in England: A nationwide cross-sectional study
File(s)
s10654-022-00905-1.pdf (2.24 MB)
Published version
Author(s)
Bucyibaruta, Georges
Blangiardo, Marta
Konstantinoudis, Garyfallos
Type
Journal Article
Abstract
One year after the start of the COVID-19 vaccination programme in England, more than 43 million people older than 12 years old had received at least a first dose. Nevertheless, geographical differences persist, and vaccine hesitancy is still a major public health concern; understanding its determinants is crucial to managing the COVID-19 pandemic and preparing for future ones. In this cross-sectional population-based study we used cumulative data on the first dose of vaccine received by 01-01-2022 at Middle Super Output Area level in England. We used Bayesian hierarchical spatial models and investigated if the geographical differences in vaccination uptake can be explained by a range of community-level characteristics covering socio-demographics, political view, COVID-19 health risk awareness and targeting of high risk groups and accessibility. Deprivation is the covariate most strongly associated with vaccine uptake (Odds Ratio 0.55, 95%CI 0.54-0.57; most versus least deprived areas). The most ethnically diverse areas have a 38% (95%CI 36-40%) lower odds of vaccine uptake compared with those least diverse. Areas with the highest proportion of population between 12 and 24 years old had lower odds of vaccination (0.87, 95%CI 0.85-0.89). Finally increase in vaccine accessibility is associated with COVID-19 vaccine coverage (OR 1.07, 95%CI 1.03-1.12). Our results suggest that one year after the start of the vaccination programme, there is still evidence of inequalities in uptake, affecting particularly minorities and marginalised groups. Strategies including prioritising active outreach across communities and removing practical barriers and factors that make vaccines less accessible are needed to level up the differences.
Date Issued
2022-09-19
Date Acceptance
2022-08-12
Citation
European Journal of Epidemiology, 2022, 37, pp.1071-1081
URI
http://hdl.handle.net/10044/1/100185
URL
https://link.springer.com/article/10.1007/s10654-022-00905-1
DOI
https://www.dx.doi.org/10.1007/s10654-022-00905-1
ISSN
0393-2990
Publisher
Springer
Start Page
1071
End Page
1081
Journal / Book Title
European Journal of Epidemiology
Volume
37
Copyright Statement
© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
http://creativecommons.org/licenses/by/4.0/
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000859287800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Public, Environmental & Occupational Health
COVID-19
Spatial modelling
Vaccine inequalities
Community-level characteristics
MODELS
Publication Status
Published online
Date Publish Online
2022-09-19
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