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Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study
BACKGROUND: The UK was the first country to start national COVID-19 vaccination programmes, initially administering doses 3 weeks apart. However, early evidence of high vaccine effectiveness after the first dose and the emergence of the SARS-CoV-2 alpha variant prompted the UK to extend the interval...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910835/ https://www.ncbi.nlm.nih.gov/pubmed/36774945 http://dx.doi.org/10.1016/S2468-2667(22)00337-1 |
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author | Imai, Natsuko Rawson, Thomas Knock, Edward S Sonabend, Raphael Elmaci, Yasin Perez-Guzman, Pablo N Whittles, Lilith K Kanapram, Divya Thekke Gaythorpe, Katy A M Hinsley, Wes Djaafara, Bimandra A Wang, Haowei Fraser, Keith FitzJohn, Richard G Hogan, Alexandra B Doohan, Patrick Ghani, Azra C Ferguson, Neil M Baguelin, Marc Cori, Anne |
author_facet | Imai, Natsuko Rawson, Thomas Knock, Edward S Sonabend, Raphael Elmaci, Yasin Perez-Guzman, Pablo N Whittles, Lilith K Kanapram, Divya Thekke Gaythorpe, Katy A M Hinsley, Wes Djaafara, Bimandra A Wang, Haowei Fraser, Keith FitzJohn, Richard G Hogan, Alexandra B Doohan, Patrick Ghani, Azra C Ferguson, Neil M Baguelin, Marc Cori, Anne |
author_sort | Imai, Natsuko |
collection | PubMed |
description | BACKGROUND: The UK was the first country to start national COVID-19 vaccination programmes, initially administering doses 3 weeks apart. However, early evidence of high vaccine effectiveness after the first dose and the emergence of the SARS-CoV-2 alpha variant prompted the UK to extend the interval between doses to 12 weeks. In this study, we aimed to quantify the effect of delaying the second vaccine dose in England. METHODS: We used a previously described model of SARS-CoV-2 transmission, calibrated to COVID-19 surveillance data from England, including hospital admissions, hospital occupancy, seroprevalence data, and population-level PCR testing data, using a Bayesian evidence-synthesis framework. We modelled and compared the epidemic trajectory in the counterfactual scenario in which vaccine doses were administered 3 weeks apart against the real reported vaccine roll-out schedule of 12 weeks. We estimated and compared the resulting numbers of daily infections, hospital admissions, and deaths. In sensitivity analyses, we investigated scenarios spanning a range of vaccine effectiveness and waning assumptions. FINDINGS: In the period from Dec 8, 2020, to Sept 13, 2021, the number of individuals who received a first vaccine dose was higher under the 12-week strategy than the 3-week strategy. For this period, we estimated that delaying the interval between the first and second COVID-19 vaccine doses from 3 to 12 weeks averted a median (calculated as the median of the posterior sample) of 58 000 COVID-19 hospital admissions (291 000 cumulative hospitalisations [95% credible interval 275 000–319 000] under the 3-week strategy vs 233 000 [229 000–238 000] under the 12-week strategy) and 10 100 deaths (64 800 deaths [60 200–68 900] vs 54 700 [52 800–55 600]). Similarly, we estimated that the 3-week strategy would have resulted in more infections compared with the 12-week strategy. Across all sensitivity analyses the 3-week strategy resulted in a greater number of hospital admissions. In results by age group, the 12-week strategy led to more hospitalisations and deaths in older people in spring 2021, but fewer following the emergence of the delta variant during summer 2021. INTERPRETATION: England's delayed-second-dose vaccination strategy was informed by early real-world data on vaccine effectiveness in the context of limited vaccine supplies in a growing epidemic. Our study shows that rapidly providing partial (single-dose) vaccine-induced protection to a larger proportion of the population was successful in reducing the burden of COVID-19 hospitalisations and deaths overall. FUNDING: UK National Institute for Health Research; UK Medical Research Council; Community Jameel; Wellcome Trust; UK Foreign, Commonwealth and Development Office; Australian National Health and Medical Research Council; and EU. |
format | Online Article Text |
id | pubmed-9910835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99108352023-02-10 Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study Imai, Natsuko Rawson, Thomas Knock, Edward S Sonabend, Raphael Elmaci, Yasin Perez-Guzman, Pablo N Whittles, Lilith K Kanapram, Divya Thekke Gaythorpe, Katy A M Hinsley, Wes Djaafara, Bimandra A Wang, Haowei Fraser, Keith FitzJohn, Richard G Hogan, Alexandra B Doohan, Patrick Ghani, Azra C Ferguson, Neil M Baguelin, Marc Cori, Anne Lancet Public Health Articles BACKGROUND: The UK was the first country to start national COVID-19 vaccination programmes, initially administering doses 3 weeks apart. However, early evidence of high vaccine effectiveness after the first dose and the emergence of the SARS-CoV-2 alpha variant prompted the UK to extend the interval between doses to 12 weeks. In this study, we aimed to quantify the effect of delaying the second vaccine dose in England. METHODS: We used a previously described model of SARS-CoV-2 transmission, calibrated to COVID-19 surveillance data from England, including hospital admissions, hospital occupancy, seroprevalence data, and population-level PCR testing data, using a Bayesian evidence-synthesis framework. We modelled and compared the epidemic trajectory in the counterfactual scenario in which vaccine doses were administered 3 weeks apart against the real reported vaccine roll-out schedule of 12 weeks. We estimated and compared the resulting numbers of daily infections, hospital admissions, and deaths. In sensitivity analyses, we investigated scenarios spanning a range of vaccine effectiveness and waning assumptions. FINDINGS: In the period from Dec 8, 2020, to Sept 13, 2021, the number of individuals who received a first vaccine dose was higher under the 12-week strategy than the 3-week strategy. For this period, we estimated that delaying the interval between the first and second COVID-19 vaccine doses from 3 to 12 weeks averted a median (calculated as the median of the posterior sample) of 58 000 COVID-19 hospital admissions (291 000 cumulative hospitalisations [95% credible interval 275 000–319 000] under the 3-week strategy vs 233 000 [229 000–238 000] under the 12-week strategy) and 10 100 deaths (64 800 deaths [60 200–68 900] vs 54 700 [52 800–55 600]). Similarly, we estimated that the 3-week strategy would have resulted in more infections compared with the 12-week strategy. Across all sensitivity analyses the 3-week strategy resulted in a greater number of hospital admissions. In results by age group, the 12-week strategy led to more hospitalisations and deaths in older people in spring 2021, but fewer following the emergence of the delta variant during summer 2021. INTERPRETATION: England's delayed-second-dose vaccination strategy was informed by early real-world data on vaccine effectiveness in the context of limited vaccine supplies in a growing epidemic. Our study shows that rapidly providing partial (single-dose) vaccine-induced protection to a larger proportion of the population was successful in reducing the burden of COVID-19 hospitalisations and deaths overall. FUNDING: UK National Institute for Health Research; UK Medical Research Council; Community Jameel; Wellcome Trust; UK Foreign, Commonwealth and Development Office; Australian National Health and Medical Research Council; and EU. The Author(s). Published by Elsevier Ltd. 2023-03 2023-02-09 /pmc/articles/PMC9910835/ /pubmed/36774945 http://dx.doi.org/10.1016/S2468-2667(22)00337-1 Text en © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Articles Imai, Natsuko Rawson, Thomas Knock, Edward S Sonabend, Raphael Elmaci, Yasin Perez-Guzman, Pablo N Whittles, Lilith K Kanapram, Divya Thekke Gaythorpe, Katy A M Hinsley, Wes Djaafara, Bimandra A Wang, Haowei Fraser, Keith FitzJohn, Richard G Hogan, Alexandra B Doohan, Patrick Ghani, Azra C Ferguson, Neil M Baguelin, Marc Cori, Anne Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study |
title | Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study |
title_full | Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study |
title_fullStr | Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study |
title_full_unstemmed | Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study |
title_short | Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study |
title_sort | quantifying the effect of delaying the second covid-19 vaccine dose in england: a mathematical modelling study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910835/ https://www.ncbi.nlm.nih.gov/pubmed/36774945 http://dx.doi.org/10.1016/S2468-2667(22)00337-1 |
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