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The 2020 SARS-CoV-2 epidemic in England: key epidemiological drivers and impact of interventions
Edward S. Knock; Lilith K. Whittles; John A. Lees; Pablo N. Perez-Guzman; Robert Verity; Richard G. FitzJohn; Katy AM. Gaythorpe; Natsuko Imai; Wes Hinsley; Lucy C. Okell; Alicia Rosello; Nikolas Kantas; Caroline E. Walters; Sangeeta Bhatia; Oliver J. Watson; Charles Whittaker; Lorenzo Cattarino; Adhiratha Boonyasiri; Bimandra A. Djaafara; Keith Fraser; Han Fu; Haowei Wang; Xiaoyue Xi; Christl A. Donnelly; Elita Jauneikaite; Daniel J. Laydon; Peter J. White; Azra C. Ghani; Neil M. Ferguson; Anne Cori; Marc Baguelin.
Afiliación
  • Edward S. Knock; Imperial College London
  • Lilith K. Whittles; Imperial College London
  • John A. Lees; Imperial College London
  • Pablo N. Perez-Guzman; Imperial College London
  • Robert Verity; Imperial College London
  • Richard G. FitzJohn; Imperial College London
  • Katy AM. Gaythorpe; Imperial College London
  • Natsuko Imai; Imperial College London
  • Wes Hinsley; Imperial College London
  • Lucy C. Okell; Imperial College London
  • Alicia Rosello; London School of Hygiene and Tropical Medicine
  • Nikolas Kantas; Imperial College London
  • Caroline E. Walters; Imperial College London
  • Sangeeta Bhatia; Imperial College London
  • Oliver J. Watson; Imperial College London
  • Charles Whittaker; Imperial College London
  • Lorenzo Cattarino; Imperial College London
  • Adhiratha Boonyasiri; Imperial College London
  • Bimandra A. Djaafara; Imperial College London
  • Keith Fraser; Imperial College London
  • Han Fu; Imperial College London
  • Haowei Wang; Imperial College London
  • Xiaoyue Xi; Imperial College London
  • Christl A. Donnelly; Imperial College London
  • Elita Jauneikaite; Imperial College London
  • Daniel J. Laydon; Imperial College London
  • Peter J. White; Imperial College London
  • Azra C. Ghani; Imperial College London
  • Neil M. Ferguson; Imperial College London
  • Anne Cori; Imperial College London
  • Marc Baguelin; Imperial College London
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21249564
ABSTRACT
We fitted a model of SARS-CoV-2 transmission in care homes and the community to regional surveillance data for England. Among control measures implemented, only national lockdown brought the reproduction number below 1 consistently; introduced one week earlier it could have reduced first wave deaths from 36,700 to 15,700 (95%CrI 8,900-26,800). Improved clinical care reduced the infection fatality ratio from 1.25% (95%CrI 1.18%-1.33%) to 0.77% (95%CrI 0.71%-0.84%). The infection fatality ratio was higher in the elderly residing in care homes (35.9%, 95%CrI 29.1%-43.4%) than those residing in the community (10.4%, 95%CrI 9.1%-11.5%). England is still far from herd immunity, with regional cumulative infection incidence to 1st December 2020 between 4.8% (95%CrI 4.4%-5.1%) and 15.4% (95%CrI 14.9%-15.9%) of the population. One-sentence summaryWe fit a mathematical model of SARS-CoV-2 transmission to surveillance data from England, to estimate transmissibility, severity, and the impact of

interventions:

Licencia
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Preprint