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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
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.
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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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