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Modelling optimal vaccination strategy for SARS-CoV-2 in the UK

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Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. / Moore, Sam; Hill, Edward M.; Dyson, Louise et al.
In: PLoS Computational Biology, Vol. 17, No. 5, e1008849, 06.05.2021.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Moore, S, Hill, EM, Dyson, L, Tildesley, MJ & Keeling, M 2021, 'Modelling optimal vaccination strategy for SARS-CoV-2 in the UK', PLoS Computational Biology, vol. 17, no. 5, e1008849. https://doi.org/10.1371/journal.pcbi.1008849

APA

Moore, S., Hill, E. M., Dyson, L., Tildesley, M. J., & Keeling, M. (2021). Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. PLoS Computational Biology, 17(5), Article e1008849. https://doi.org/10.1371/journal.pcbi.1008849

Vancouver

Moore S, Hill EM, Dyson L, Tildesley MJ, Keeling M. Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. PLoS Computational Biology. 2021 May 6;17(5):e1008849. doi: 10.1371/journal.pcbi.1008849

Author

Moore, Sam ; Hill, Edward M. ; Dyson, Louise et al. / Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. In: PLoS Computational Biology. 2021 ; Vol. 17, No. 5.

Bibtex

@article{5ed1a65e566c45e3945065735581f286,
title = "Modelling optimal vaccination strategy for SARS-CoV-2 in the UK",
abstract = "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.",
author = "Sam Moore and Hill, {Edward M.} and Louise Dyson and Tildesley, {Michael J} and Matt Keeling",
year = "2021",
month = may,
day = "6",
doi = "10.1371/journal.pcbi.1008849",
language = "English",
volume = "17",
journal = "PLoS Computational Biology",
issn = "1553-734X",
publisher = "Public Library of Science",
number = "5",

}

RIS

TY - JOUR

T1 - Modelling optimal vaccination strategy for SARS-CoV-2 in the UK

AU - Moore, Sam

AU - Hill, Edward M.

AU - Dyson, Louise

AU - Tildesley, Michael J

AU - Keeling, Matt

PY - 2021/5/6

Y1 - 2021/5/6

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pcbi.1008849

DO - 10.1371/journal.pcbi.1008849

M3 - Journal article

C2 - 33956791

VL - 17

JO - PLoS Computational Biology

JF - PLoS Computational Biology

SN - 1553-734X

IS - 5

M1 - e1008849

ER -