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Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England
We fitted a model of SARS-CoV-2 transmission in care homes and the community to regional surveillance data for England. Compared with other approaches, our model provides a synthesis of multiple surveillance data streams into a single coherent modeling framework, allowing transmission and severity t...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432953/ https://www.ncbi.nlm.nih.gov/pubmed/34158411 http://dx.doi.org/10.1126/scitranslmed.abg4262 |
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author | Knock, Edward S. Whittles, Lilith K. Lees, John A. Perez-Guzman, Pablo N. Verity, Robert FitzJohn, Richard G. Gaythorpe, Katy A. M. Imai, Natsuko Hinsley, Wes Okell, Lucy C. Rosello, Alicia Kantas, Nikolas Walters, Caroline E. Bhatia, Sangeeta Watson, Oliver J. Whittaker, Charlie Cattarino, Lorenzo Boonyasiri, Adhiratha Djaafara, Bimandra A. Fraser, Keith Fu, Han Wang, Haowei Xi, Xiaoyue Donnelly, Christl A. Jauneikaite, Elita Laydon, Daniel J. White, Peter J. Ghani, Azra C. Ferguson, Neil M. Cori, Anne Baguelin, Marc |
author_facet | Knock, Edward S. Whittles, Lilith K. Lees, John A. Perez-Guzman, Pablo N. Verity, Robert FitzJohn, Richard G. Gaythorpe, Katy A. M. Imai, Natsuko Hinsley, Wes Okell, Lucy C. Rosello, Alicia Kantas, Nikolas Walters, Caroline E. Bhatia, Sangeeta Watson, Oliver J. Whittaker, Charlie Cattarino, Lorenzo Boonyasiri, Adhiratha Djaafara, Bimandra A. Fraser, Keith Fu, Han Wang, Haowei Xi, Xiaoyue Donnelly, Christl A. Jauneikaite, Elita Laydon, Daniel J. White, Peter J. Ghani, Azra C. Ferguson, Neil M. Cori, Anne Baguelin, Marc |
author_sort | Knock, Edward S. |
collection | PubMed |
description | We fitted a model of SARS-CoV-2 transmission in care homes and the community to regional surveillance data for England. Compared with other approaches, our model provides a synthesis of multiple surveillance data streams into a single coherent modeling framework, allowing transmission and severity to be disentangled from features of the surveillance system. Of the control measures implemented, only national lockdown brought the reproduction number (R(t)(eff)) below 1 consistently; if introduced 1 week earlier, it could have reduced deaths in the first wave from an estimated 48,600 to 25,600 [95% credible interval (CrI): 15,900 to 38,400]. The infection fatality ratio decreased from 1.00% (95% CrI: 0.85 to 1.21%) to 0.79% (95% CrI: 0.63 to 0.99%), suggesting improved clinical care. The infection fatality ratio was higher in the elderly residing in care homes (23.3%, 95% CrI: 14.7 to 35.2%) than those residing in the community (7.9%, 95% CrI: 5.9 to 10.3%). On 2 December 2020, England was still far from herd immunity, with regional cumulative infection incidence between 7.6% (95% CrI: 5.4 to 10.2%) and 22.3% (95% CrI: 19.4 to 25.4%) of the population. Therefore, any vaccination campaign will need to achieve high coverage and a high degree of protection in vaccinated individuals to allow nonpharmaceutical interventions to be lifted without a resurgence of transmission. |
format | Online Article Text |
id | pubmed-8432953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-84329532021-09-13 Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England Knock, Edward S. Whittles, Lilith K. Lees, John A. Perez-Guzman, Pablo N. Verity, Robert FitzJohn, Richard G. Gaythorpe, Katy A. M. Imai, Natsuko Hinsley, Wes Okell, Lucy C. Rosello, Alicia Kantas, Nikolas Walters, Caroline E. Bhatia, Sangeeta Watson, Oliver J. Whittaker, Charlie Cattarino, Lorenzo Boonyasiri, Adhiratha Djaafara, Bimandra A. Fraser, Keith Fu, Han Wang, Haowei Xi, Xiaoyue Donnelly, Christl A. Jauneikaite, Elita Laydon, Daniel J. White, Peter J. Ghani, Azra C. Ferguson, Neil M. Cori, Anne Baguelin, Marc Sci Transl Med Research Articles We fitted a model of SARS-CoV-2 transmission in care homes and the community to regional surveillance data for England. Compared with other approaches, our model provides a synthesis of multiple surveillance data streams into a single coherent modeling framework, allowing transmission and severity to be disentangled from features of the surveillance system. Of the control measures implemented, only national lockdown brought the reproduction number (R(t)(eff)) below 1 consistently; if introduced 1 week earlier, it could have reduced deaths in the first wave from an estimated 48,600 to 25,600 [95% credible interval (CrI): 15,900 to 38,400]. The infection fatality ratio decreased from 1.00% (95% CrI: 0.85 to 1.21%) to 0.79% (95% CrI: 0.63 to 0.99%), suggesting improved clinical care. The infection fatality ratio was higher in the elderly residing in care homes (23.3%, 95% CrI: 14.7 to 35.2%) than those residing in the community (7.9%, 95% CrI: 5.9 to 10.3%). On 2 December 2020, England was still far from herd immunity, with regional cumulative infection incidence between 7.6% (95% CrI: 5.4 to 10.2%) and 22.3% (95% CrI: 19.4 to 25.4%) of the population. Therefore, any vaccination campaign will need to achieve high coverage and a high degree of protection in vaccinated individuals to allow nonpharmaceutical interventions to be lifted without a resurgence of transmission. American Association for the Advancement of Science 2021-07-14 /pmc/articles/PMC8432953/ /pubmed/34158411 http://dx.doi.org/10.1126/scitranslmed.abg4262 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Knock, Edward S. Whittles, Lilith K. Lees, John A. Perez-Guzman, Pablo N. Verity, Robert FitzJohn, Richard G. Gaythorpe, Katy A. M. Imai, Natsuko Hinsley, Wes Okell, Lucy C. Rosello, Alicia Kantas, Nikolas Walters, Caroline E. Bhatia, Sangeeta Watson, Oliver J. Whittaker, Charlie Cattarino, Lorenzo Boonyasiri, Adhiratha Djaafara, Bimandra A. Fraser, Keith Fu, Han Wang, Haowei Xi, Xiaoyue Donnelly, Christl A. Jauneikaite, Elita Laydon, Daniel J. White, Peter J. Ghani, Azra C. Ferguson, Neil M. Cori, Anne Baguelin, Marc Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England |
title | Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England |
title_full | Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England |
title_fullStr | Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England |
title_full_unstemmed | Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England |
title_short | Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England |
title_sort | key epidemiological drivers and impact of interventions in the 2020 sars-cov-2 epidemic in england |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432953/ https://www.ncbi.nlm.nih.gov/pubmed/34158411 http://dx.doi.org/10.1126/scitranslmed.abg4262 |
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