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Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region
BACKGROUND: Countries in the World Health Organization (WHO) European Region differ in terms of the COVID-19 vaccine roll-out speed. We evaluated the health and economic impact of different age-based vaccine prioritisation strategies across this demographically and socio-economically diverse region....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288152/ https://www.ncbi.nlm.nih.gov/pubmed/34282421 http://dx.doi.org/10.1101/2021.07.09.21260272 |
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author | Liu, Yang Sandmann, Frank G. Barnard, Rosanna C. Pearson, Carl A.B. Pastore, Roberta Pebody, Richard Flasche, Stefan Jit, Mark |
author_facet | Liu, Yang Sandmann, Frank G. Barnard, Rosanna C. Pearson, Carl A.B. Pastore, Roberta Pebody, Richard Flasche, Stefan Jit, Mark |
author_sort | Liu, Yang |
collection | PubMed |
description | BACKGROUND: Countries in the World Health Organization (WHO) European Region differ in terms of the COVID-19 vaccine roll-out speed. We evaluated the health and economic impact of different age-based vaccine prioritisation strategies across this demographically and socio-economically diverse region. METHODS: We fitted country-specific age-stratified compartmental transmission models to reported COVID-19 mortality in the WHO European Region to inform the immunity level before vaccine roll-out. Building upon broad recommendations from the WHO Strategic Advisory Group of Experts on Immunisation (SAGE), we examined four strategies that prioritise: all adults (V+), younger (20–59 year-olds) followed by older adults (60+) (V20), older followed by younger adults (V60), and the oldest adults (75+) (V75) followed by incremental expansion to successively younger five-year age groups. We explored four roll-out scenarios based on projections or recent observations (R1–4) - the slowest scenario (R1) covers 30% of the total population by December 2022 and the fastest (R4) 80% by December 2021. Five decision-making metrics were summarised over 2021–22: mortality, morbidity, and losses in comorbidity-adjusted life expectancy (cLE), comorbidity- and quality-adjusted life years (cQALY), and the value of human capital (HC). Six sets of infection-blocking and disease-reducing vaccine efficacies were considered. FINDINGS: The optimal age-based vaccine prioritisation strategies were sensitive to country characteristics, decision-making metrics and roll-out speeds. Overall, V60 consistently performed better than or comparably to V75. There were greater benefits in prioritising older adults when roll-out is slow and when VE is low. Under faster roll-out, V+ was the most desirable option. INTERPRETATION: A prioritisation strategy involving more age-based stages (V75) does not necessarily lead to better health and economic outcomes than targeting broad age groups (V60). Countries expecting a slow vaccine roll-out may particularly benefit from prioritising older adults. FUNDING: World Health Organization, Bill and Melinda Gates Foundation, the Medical Research Council (United Kingdom), the National Institute of Health Research (United Kingdom), the European Commission, the Foreign, Commonwealth and Development Office (United Kingdom), Wellcome Trust |
format | Online Article Text |
id | pubmed-8288152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-82881522021-07-20 Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region Liu, Yang Sandmann, Frank G. Barnard, Rosanna C. Pearson, Carl A.B. Pastore, Roberta Pebody, Richard Flasche, Stefan Jit, Mark medRxiv Article BACKGROUND: Countries in the World Health Organization (WHO) European Region differ in terms of the COVID-19 vaccine roll-out speed. We evaluated the health and economic impact of different age-based vaccine prioritisation strategies across this demographically and socio-economically diverse region. METHODS: We fitted country-specific age-stratified compartmental transmission models to reported COVID-19 mortality in the WHO European Region to inform the immunity level before vaccine roll-out. Building upon broad recommendations from the WHO Strategic Advisory Group of Experts on Immunisation (SAGE), we examined four strategies that prioritise: all adults (V+), younger (20–59 year-olds) followed by older adults (60+) (V20), older followed by younger adults (V60), and the oldest adults (75+) (V75) followed by incremental expansion to successively younger five-year age groups. We explored four roll-out scenarios based on projections or recent observations (R1–4) - the slowest scenario (R1) covers 30% of the total population by December 2022 and the fastest (R4) 80% by December 2021. Five decision-making metrics were summarised over 2021–22: mortality, morbidity, and losses in comorbidity-adjusted life expectancy (cLE), comorbidity- and quality-adjusted life years (cQALY), and the value of human capital (HC). Six sets of infection-blocking and disease-reducing vaccine efficacies were considered. FINDINGS: The optimal age-based vaccine prioritisation strategies were sensitive to country characteristics, decision-making metrics and roll-out speeds. Overall, V60 consistently performed better than or comparably to V75. There were greater benefits in prioritising older adults when roll-out is slow and when VE is low. Under faster roll-out, V+ was the most desirable option. INTERPRETATION: A prioritisation strategy involving more age-based stages (V75) does not necessarily lead to better health and economic outcomes than targeting broad age groups (V60). Countries expecting a slow vaccine roll-out may particularly benefit from prioritising older adults. FUNDING: World Health Organization, Bill and Melinda Gates Foundation, the Medical Research Council (United Kingdom), the National Institute of Health Research (United Kingdom), the European Commission, the Foreign, Commonwealth and Development Office (United Kingdom), Wellcome Trust Cold Spring Harbor Laboratory 2021-07-14 /pmc/articles/PMC8288152/ /pubmed/34282421 http://dx.doi.org/10.1101/2021.07.09.21260272 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Liu, Yang Sandmann, Frank G. Barnard, Rosanna C. Pearson, Carl A.B. Pastore, Roberta Pebody, Richard Flasche, Stefan Jit, Mark Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region |
title | Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region |
title_full | Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region |
title_fullStr | Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region |
title_full_unstemmed | Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region |
title_short | Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region |
title_sort | optimising health and economic impacts of covid-19 vaccine prioritisation strategies in the who european region |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288152/ https://www.ncbi.nlm.nih.gov/pubmed/34282421 http://dx.doi.org/10.1101/2021.07.09.21260272 |
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