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Forecasting sub-national trends in COVID-19 vaccine uptake in the UK before vaccine rollout

Vaccines have reduced the burden of COVID-19 disease in the UK since their introduction in December 2020. At the time of their introduction, it was unclear the extent to which COVID-19 vaccines would be accepted and how spatial variations in uptake would emerge, driven by socio-demographic character...

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Autor principal: de Figueiredo, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746557/
https://www.ncbi.nlm.nih.gov/pubmed/36513741
http://dx.doi.org/10.1038/s41598-022-25354-4
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author de Figueiredo, A.
author_facet de Figueiredo, A.
author_sort de Figueiredo, A.
collection PubMed
description Vaccines have reduced the burden of COVID-19 disease in the UK since their introduction in December 2020. At the time of their introduction, it was unclear the extent to which COVID-19 vaccines would be accepted and how spatial variations in uptake would emerge, driven by socio-demographic characteristics. In this study, data from a large-scale cross-sectional study of over 17,000 adults, surveyed in September and October 2020, was used to provide sub-national forecasts of COVID-19 vaccine uptake across the UK. Bayesian multilevel regression and poststratification was deployed to forecast COVID-19 vaccine acceptance before vaccine rollout across 174 regions of the UK. Although it was found that a majority of the UK adult population would likely take the vaccine, there were substantial heterogeneities in uptake intent across the UK. Large urban areas, including London and North West England, females, Black or Black British ethnicities, and Polish speakers were among the least likely to state an intent to vaccinate. These predicted spatial trends were validated by comparison to observed observed COVID-19 vaccine uptake in late 2021. The methodological approaches deployed in this validated forecasting study may be replicable for the prediction of routine childhood immunisation uptake. Given recent pandemic-induced disruptions to routine immunisation systems, reliable sub-national forecasts of vaccine uptake may provide policymakers and stakeholders early warning signals of potential vaccine confidence issues.
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spelling pubmed-97465572022-12-14 Forecasting sub-national trends in COVID-19 vaccine uptake in the UK before vaccine rollout de Figueiredo, A. Sci Rep Article Vaccines have reduced the burden of COVID-19 disease in the UK since their introduction in December 2020. At the time of their introduction, it was unclear the extent to which COVID-19 vaccines would be accepted and how spatial variations in uptake would emerge, driven by socio-demographic characteristics. In this study, data from a large-scale cross-sectional study of over 17,000 adults, surveyed in September and October 2020, was used to provide sub-national forecasts of COVID-19 vaccine uptake across the UK. Bayesian multilevel regression and poststratification was deployed to forecast COVID-19 vaccine acceptance before vaccine rollout across 174 regions of the UK. Although it was found that a majority of the UK adult population would likely take the vaccine, there were substantial heterogeneities in uptake intent across the UK. Large urban areas, including London and North West England, females, Black or Black British ethnicities, and Polish speakers were among the least likely to state an intent to vaccinate. These predicted spatial trends were validated by comparison to observed observed COVID-19 vaccine uptake in late 2021. The methodological approaches deployed in this validated forecasting study may be replicable for the prediction of routine childhood immunisation uptake. Given recent pandemic-induced disruptions to routine immunisation systems, reliable sub-national forecasts of vaccine uptake may provide policymakers and stakeholders early warning signals of potential vaccine confidence issues. Nature Publishing Group UK 2022-12-13 /pmc/articles/PMC9746557/ /pubmed/36513741 http://dx.doi.org/10.1038/s41598-022-25354-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
de Figueiredo, A.
Forecasting sub-national trends in COVID-19 vaccine uptake in the UK before vaccine rollout
title Forecasting sub-national trends in COVID-19 vaccine uptake in the UK before vaccine rollout
title_full Forecasting sub-national trends in COVID-19 vaccine uptake in the UK before vaccine rollout
title_fullStr Forecasting sub-national trends in COVID-19 vaccine uptake in the UK before vaccine rollout
title_full_unstemmed Forecasting sub-national trends in COVID-19 vaccine uptake in the UK before vaccine rollout
title_short Forecasting sub-national trends in COVID-19 vaccine uptake in the UK before vaccine rollout
title_sort forecasting sub-national trends in covid-19 vaccine uptake in the uk before vaccine rollout
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746557/
https://www.ncbi.nlm.nih.gov/pubmed/36513741
http://dx.doi.org/10.1038/s41598-022-25354-4
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