Your browser doesn't support javascript.
Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave.
Birrell, Paul; Blake, Joshua; van Leeuwen, Edwin; Gent, Nick; De Angelis, Daniela.
  • Birrell P; Public Health England, National Infection Service, 61 Colindale Avenue, London NW9 5HT, UK.
  • Blake J; MRC Biostatistics Unit, University of Cambridge, East Forvie Site Building, Forvie Site, Robinson Way, Cambridge Biomedical Campus, Cambridge CB2 OSR, UK.
  • van Leeuwen E; MRC Biostatistics Unit, University of Cambridge, East Forvie Site Building, Forvie Site, Robinson Way, Cambridge Biomedical Campus, Cambridge CB2 OSR, UK.
  • Gent N; Public Health England, National Infection Service, 61 Colindale Avenue, London NW9 5HT, UK.
  • De Angelis D; Public Health England, Emergency Response Department, Porton Down, SP4 0JG, UK.
Philos Trans R Soc Lond B Biol Sci ; 376(1829): 20200279, 2021 07 19.
Article in English | MEDLINE | ID: covidwho-1309696
ABSTRACT
England has been heavily affected by the SARS-CoV-2 pandemic, with severe 'lockdown' mitigation measures now gradually being lifted. The real-time pandemic monitoring presented here has contributed to the evidence informing this pandemic management throughout the first wave. Estimates on the 10 May showed lockdown had reduced transmission by 75%, the reproduction number falling from 2.6 to 0.61. This regionally varying impact was largest in London with a reduction of 81% (95% credible interval 77-84%). Reproduction numbers have since then slowly increased, and on 19 June the probability of the epidemic growing was greater than 5% in two regions, South West and London. By this date, an estimated 8% of the population had been infected, with a higher proportion in London (17%). The infection-to-fatality ratio is 1.1% (0.9-1.4%) overall but 17% (14-22%) among the over-75s. This ongoing work continues to be key to quantifying any widespread resurgence, should accrued immunity and effective contact tracing be insufficient to preclude a second wave. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK'.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0279

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0279