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Modelling optimal vaccination strategy for SARS-CoV-2 in the UK
The COVID-19 outbreak has highlighted our vulnerability to novel infections. Faced with this threat and no effective treatment, in line with many other countries, the UK adopted enforced social distancing (lockdown) to reduce transmission—successfully reducing the reproductive number R below one. Ho...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101958/ https://www.ncbi.nlm.nih.gov/pubmed/33956791 http://dx.doi.org/10.1371/journal.pcbi.1008849 |
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author | Moore, Sam Hill, Edward M. Dyson, Louise Tildesley, Michael J. Keeling, Matt J. |
author_facet | Moore, Sam Hill, Edward M. Dyson, Louise Tildesley, Michael J. Keeling, Matt J. |
author_sort | Moore, Sam |
collection | PubMed |
description | The COVID-19 outbreak has highlighted our vulnerability to novel infections. Faced with this threat and no effective treatment, in line with many other countries, the UK adopted enforced social distancing (lockdown) to reduce transmission—successfully reducing the reproductive number R below one. However, given the large pool of susceptible individuals that remain, complete relaxation of controls is likely to generate a substantial further outbreak. Vaccination remains the only foreseeable means of both containing the infection and returning to normal interactions and behaviour. Here, we consider the optimal targeting of vaccination within the UK, with the aim of minimising future deaths or quality adjusted life year (QALY) losses. We show that, for a range of assumptions on the action and efficacy of the vaccine, targeting older age groups first is optimal and may be sufficient to stem the epidemic if the vaccine prevents transmission as well as disease. |
format | Online Article Text |
id | pubmed-8101958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-81019582021-05-17 Modelling optimal vaccination strategy for SARS-CoV-2 in the UK Moore, Sam Hill, Edward M. Dyson, Louise Tildesley, Michael J. Keeling, Matt J. PLoS Comput Biol Research Article The COVID-19 outbreak has highlighted our vulnerability to novel infections. Faced with this threat and no effective treatment, in line with many other countries, the UK adopted enforced social distancing (lockdown) to reduce transmission—successfully reducing the reproductive number R below one. However, given the large pool of susceptible individuals that remain, complete relaxation of controls is likely to generate a substantial further outbreak. Vaccination remains the only foreseeable means of both containing the infection and returning to normal interactions and behaviour. Here, we consider the optimal targeting of vaccination within the UK, with the aim of minimising future deaths or quality adjusted life year (QALY) losses. We show that, for a range of assumptions on the action and efficacy of the vaccine, targeting older age groups first is optimal and may be sufficient to stem the epidemic if the vaccine prevents transmission as well as disease. Public Library of Science 2021-05-06 /pmc/articles/PMC8101958/ /pubmed/33956791 http://dx.doi.org/10.1371/journal.pcbi.1008849 Text en © 2021 Moore et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Moore, Sam Hill, Edward M. Dyson, Louise Tildesley, Michael J. Keeling, Matt J. Modelling optimal vaccination strategy for SARS-CoV-2 in the UK |
title | Modelling optimal vaccination strategy for SARS-CoV-2 in the UK |
title_full | Modelling optimal vaccination strategy for SARS-CoV-2 in the UK |
title_fullStr | Modelling optimal vaccination strategy for SARS-CoV-2 in the UK |
title_full_unstemmed | Modelling optimal vaccination strategy for SARS-CoV-2 in the UK |
title_short | Modelling optimal vaccination strategy for SARS-CoV-2 in the UK |
title_sort | modelling optimal vaccination strategy for sars-cov-2 in the uk |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101958/ https://www.ncbi.nlm.nih.gov/pubmed/33956791 http://dx.doi.org/10.1371/journal.pcbi.1008849 |
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