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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.
Afiliação
  • Knock ES; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Whittles LK; National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Modelling and Health Economics, London, UK.
  • Lees JA; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Perez-Guzman PN; National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Modelling and Health Economics, London, UK.
  • Verity R; Modelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK.
  • FitzJohn RG; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Gaythorpe KAM; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Imai N; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Hinsley W; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Okell LC; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Rosello A; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Kantas N; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Walters CE; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Bhatia S; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
  • Watson OJ; Faculty of Natural Sciences, Department of Mathematics, Imperial College London, London SW7 2BX, UK.
  • Whittaker C; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Cattarino L; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Boonyasiri A; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Djaafara BA; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Fraser K; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Fu H; Department of Infectious Disease, School of Public Health, Imperial College London, London W2 1PG, UK.
  • Wang H; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Xi X; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Donnelly CA; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Jauneikaite E; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Laydon DJ; Faculty of Natural Sciences, Department of Mathematics, Imperial College London, London SW7 2BX, UK.
  • White PJ; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Ghani AC; Department of Statistics, University of Oxford, Oxford OX1 3LB, UK.
  • Ferguson NM; NIHR HPRU in Emerging and Zoonotic Infections, Liverpool, UK.
  • Cori A; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
  • Baguelin M; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London W2 1PG, UK.
Sci Transl Med ; 13(602)2021 07 14.
Article em En | MEDLINE | ID: mdl-34158411
ABSTRACT
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 (Rt 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / COVID-19 Limite: Aged / Humans País/Região como assunto: Europa Idioma: En Revista: Sci Transl Med Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / COVID-19 Limite: Aged / Humans País/Região como assunto: Europa Idioma: En Revista: Sci Transl Med Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido