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Transmission dynamics of the COVID-19 epidemic in England
BACKGROUND: The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused a tremendous health burden and impact on the world economy. The UK Government implemented the biggest lockdown of society during peacetime in British history at the end of March 2020, aiming to contain the rapid spread o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757353/ https://www.ncbi.nlm.nih.gov/pubmed/33359440 http://dx.doi.org/10.1016/j.ijid.2020.12.055 |
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author | Liu, Yang Tang, Julian W. Lam, Tommy T.Y. |
author_facet | Liu, Yang Tang, Julian W. Lam, Tommy T.Y. |
author_sort | Liu, Yang |
collection | PubMed |
description | BACKGROUND: The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused a tremendous health burden and impact on the world economy. The UK Government implemented the biggest lockdown of society during peacetime in British history at the end of March 2020, aiming to contain the rapid spread of the virus. The UK lockdown was maintained for 7 weeks, but the effectiveness of the control measures in suppressing disease transmission remains incompletely understood. METHODS: A Bayesian SEIR (susceptible–exposed–infected–removed) epidemiological model was used to rebuild the local transmission dynamics of the spread of COVID-19 in nine regions of England. RESULTS: The basic reproduction number (R(0)) in England was found to be relatively high compared with China. The estimate of the temporally varying effective reproduction number (R(t)) suggests that the control measures, especially the forced lockdown, were effective to reduce transmissibility and curb the COVID-19 epidemic. Although the overall incidence rate in the UK has declined, forecasting highlights the possibility of a second epidemic wave in several regions. CONCLUSION: This study enhances understanding of the current outbreak and the effectiveness of control measures in the UK. |
format | Online Article Text |
id | pubmed-7757353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77573532020-12-23 Transmission dynamics of the COVID-19 epidemic in England Liu, Yang Tang, Julian W. Lam, Tommy T.Y. Int J Infect Dis Article BACKGROUND: The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused a tremendous health burden and impact on the world economy. The UK Government implemented the biggest lockdown of society during peacetime in British history at the end of March 2020, aiming to contain the rapid spread of the virus. The UK lockdown was maintained for 7 weeks, but the effectiveness of the control measures in suppressing disease transmission remains incompletely understood. METHODS: A Bayesian SEIR (susceptible–exposed–infected–removed) epidemiological model was used to rebuild the local transmission dynamics of the spread of COVID-19 in nine regions of England. RESULTS: The basic reproduction number (R(0)) in England was found to be relatively high compared with China. The estimate of the temporally varying effective reproduction number (R(t)) suggests that the control measures, especially the forced lockdown, were effective to reduce transmissibility and curb the COVID-19 epidemic. Although the overall incidence rate in the UK has declined, forecasting highlights the possibility of a second epidemic wave in several regions. CONCLUSION: This study enhances understanding of the current outbreak and the effectiveness of control measures in the UK. The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021-03 2020-12-23 /pmc/articles/PMC7757353/ /pubmed/33359440 http://dx.doi.org/10.1016/j.ijid.2020.12.055 Text en © 2020 The Authors 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 | Article Liu, Yang Tang, Julian W. Lam, Tommy T.Y. Transmission dynamics of the COVID-19 epidemic in England |
title | Transmission dynamics of the COVID-19 epidemic in England |
title_full | Transmission dynamics of the COVID-19 epidemic in England |
title_fullStr | Transmission dynamics of the COVID-19 epidemic in England |
title_full_unstemmed | Transmission dynamics of the COVID-19 epidemic in England |
title_short | Transmission dynamics of the COVID-19 epidemic in England |
title_sort | transmission dynamics of the covid-19 epidemic in england |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757353/ https://www.ncbi.nlm.nih.gov/pubmed/33359440 http://dx.doi.org/10.1016/j.ijid.2020.12.055 |
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