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, Paul; Blake, Joshua; van Leeuwen, Edwin; Gent, Nick; De Angelis, Daniela.

Affiliation

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 En | MEDLINE | ID: mdl-34053254

Subject(s)

COVID-19/epidemiology; Models, Statistical; Pandemics; SARS-CoV-2/pathogenicity; Basic Reproduction Number/statistics & numerical data; COVID-19/transmission; COVID-19/virology; Communicable Disease Control/trends; Contact Tracing/trends; England/epidemiology; Forecasting; Humans; London/epidemiology

Key words

Bayesian; COVID-19; dynamics; forecasting; nowcasting; real-time

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Full text: 1 Database: MEDLINE Main subject: Models, Statistical / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Type: Article Affiliation country: United kingdom

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