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Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave
England has been heavily affected by the SARS-CoV-2 pandemic, with severe ‘lockdown’ mitigation measures now gradually being lifted. The real-time pandemic monitoring presented here has contributed to the evidence informing this pandemic management throughout the first wave. Estimates on the 10 May...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165585/ https://www.ncbi.nlm.nih.gov/pubmed/34053254 http://dx.doi.org/10.1098/rstb.2020.0279 |
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author | Birrell, Paul Blake, Joshua van Leeuwen, Edwin Gent, Nick De Angelis, Daniela |
author_facet | Birrell, Paul Blake, Joshua van Leeuwen, Edwin Gent, Nick De Angelis, Daniela |
author_sort | Birrell, Paul |
collection | PubMed |
description | England has been heavily affected by the SARS-CoV-2 pandemic, with severe ‘lockdown’ mitigation measures now gradually being lifted. The real-time pandemic monitoring presented here has contributed to the evidence informing this pandemic management throughout the first wave. Estimates on the 10 May showed lockdown had reduced transmission by 75%, the reproduction number falling from 2.6 to 0.61. This regionally varying impact was largest in London with a reduction of 81% (95% credible interval: 77–84%). Reproduction numbers have since then slowly increased, and on 19 June the probability of the epidemic growing was greater than 5% in two regions, South West and London. By this date, an estimated 8% of the population had been infected, with a higher proportion in London (17%). The infection-to-fatality ratio is 1.1% (0.9–1.4%) overall but 17% (14–22%) among the over-75s. This ongoing work continues to be key to quantifying any widespread resurgence, should accrued immunity and effective contact tracing be insufficient to preclude a second wave. This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’. |
format | Online Article Text |
id | pubmed-8165585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-81655852021-06-03 Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave Birrell, Paul Blake, Joshua van Leeuwen, Edwin Gent, Nick De Angelis, Daniela Philos Trans R Soc Lond B Biol Sci Articles England has been heavily affected by the SARS-CoV-2 pandemic, with severe ‘lockdown’ mitigation measures now gradually being lifted. The real-time pandemic monitoring presented here has contributed to the evidence informing this pandemic management throughout the first wave. Estimates on the 10 May showed lockdown had reduced transmission by 75%, the reproduction number falling from 2.6 to 0.61. This regionally varying impact was largest in London with a reduction of 81% (95% credible interval: 77–84%). Reproduction numbers have since then slowly increased, and on 19 June the probability of the epidemic growing was greater than 5% in two regions, South West and London. By this date, an estimated 8% of the population had been infected, with a higher proportion in London (17%). The infection-to-fatality ratio is 1.1% (0.9–1.4%) overall but 17% (14–22%) among the over-75s. This ongoing work continues to be key to quantifying any widespread resurgence, should accrued immunity and effective contact tracing be insufficient to preclude a second wave. This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’. The Royal Society 2021-07-19 2021-05-31 /pmc/articles/PMC8165585/ /pubmed/34053254 http://dx.doi.org/10.1098/rstb.2020.0279 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Birrell, Paul Blake, Joshua van Leeuwen, Edwin Gent, Nick De Angelis, Daniela Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave |
title | Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave |
title_full | Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave |
title_fullStr | Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave |
title_full_unstemmed | Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave |
title_short | Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave |
title_sort | real-time nowcasting and forecasting of covid-19 dynamics in england: the first wave |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165585/ https://www.ncbi.nlm.nih.gov/pubmed/34053254 http://dx.doi.org/10.1098/rstb.2020.0279 |
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