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A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model

OBJECTIVES: Predicting the future UK COVID-19 epidemic allows other countries to compare their epidemic with one unfolding without public health measures except a vaccine program. METHODS: A Dynamic Causal Model was used to estimate key model parameters of the UK epidemic, such as vaccine effectiven...

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Autores principales: Bowie, Cam, Friston, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705757/
https://www.ncbi.nlm.nih.gov/pubmed/36457320
http://dx.doi.org/10.3389/fpubh.2022.999210
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author Bowie, Cam
Friston, Karl
author_facet Bowie, Cam
Friston, Karl
author_sort Bowie, Cam
collection PubMed
description OBJECTIVES: Predicting the future UK COVID-19 epidemic allows other countries to compare their epidemic with one unfolding without public health measures except a vaccine program. METHODS: A Dynamic Causal Model was used to estimate key model parameters of the UK epidemic, such as vaccine effectiveness and increased transmissibility of Alpha and Delta variants, the effectiveness of the vaccine program roll-out and changes in contact rates. The model predicts the future trends in infections, long-COVID, hospital admissions and deaths. RESULTS: Two-dose vaccination given to 66% of the UK population prevents transmission following infection by 44%, serious illness by 86% and death by 93%. Despite this, with no other public health measures used, cases will increase from 37 million to 61 million, hospital admissions from 536,000 to 684,000 and deaths from 136,000 to 142,000 over 12 months. A retrospective analysis (conducted after the original submission of this report) allowed a comparison of these predictions of morbidity and mortality with actual outcomes. CONCLUSION: Vaccination alone will not control the epidemic. Relaxation of mitigating public health measures carries several risks, which include overwhelming the health services, the creation of vaccine resistant variants and the economic cost of huge numbers of acute and chronic cases.
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spelling pubmed-97057572022-11-30 A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model Bowie, Cam Friston, Karl Front Public Health Public Health OBJECTIVES: Predicting the future UK COVID-19 epidemic allows other countries to compare their epidemic with one unfolding without public health measures except a vaccine program. METHODS: A Dynamic Causal Model was used to estimate key model parameters of the UK epidemic, such as vaccine effectiveness and increased transmissibility of Alpha and Delta variants, the effectiveness of the vaccine program roll-out and changes in contact rates. The model predicts the future trends in infections, long-COVID, hospital admissions and deaths. RESULTS: Two-dose vaccination given to 66% of the UK population prevents transmission following infection by 44%, serious illness by 86% and death by 93%. Despite this, with no other public health measures used, cases will increase from 37 million to 61 million, hospital admissions from 536,000 to 684,000 and deaths from 136,000 to 142,000 over 12 months. A retrospective analysis (conducted after the original submission of this report) allowed a comparison of these predictions of morbidity and mortality with actual outcomes. CONCLUSION: Vaccination alone will not control the epidemic. Relaxation of mitigating public health measures carries several risks, which include overwhelming the health services, the creation of vaccine resistant variants and the economic cost of huge numbers of acute and chronic cases. Frontiers Media S.A. 2022-11-15 /pmc/articles/PMC9705757/ /pubmed/36457320 http://dx.doi.org/10.3389/fpubh.2022.999210 Text en Copyright © 2022 Bowie and Friston. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Bowie, Cam
Friston, Karl
A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model
title A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model
title_full A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model
title_fullStr A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model
title_full_unstemmed A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model
title_short A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model
title_sort 12-month projection to september 2022 of the covid-19 epidemic in the uk using a dynamic causal model
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705757/
https://www.ncbi.nlm.nih.gov/pubmed/36457320
http://dx.doi.org/10.3389/fpubh.2022.999210
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