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Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection.
Jombart, Thibaut; Ghozzi, Stéphane; Schumacher, Dirk; Taylor, Timothy J; Leclerc, Quentin J; Jit, Mark; Flasche, Stefan; Greaves, Felix; Ward, Tom; Eggo, Rosalind M; Nightingale, Emily; Meakin, Sophie; Brady, Oliver J; Medley, Graham F; Höhle, Michael; Edmunds, W John.
Afiliação
  • Jombart T; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Ghozzi S; UK Public Health Rapid Support Team, London WC1E 7HT, UK.
  • Schumacher D; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London SW7 2DD, UK.
  • Taylor TJ; Department of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, 38124, Braunschweig, Lower Saxony, Germany.
  • Leclerc QJ; Department of Infectious Disease Epidemiology, Robert Koch-Institute, DE-13353 Berlin, Germany.
  • Jit M; Unit for Medical Biometry and Statistics, Federal Institute for Quality Assurance and Transparency in Healthcare, Berlin, Germany.
  • Flasche S; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Greaves F; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Ward T; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Eggo RM; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, People's Republic of China.
  • Nightingale E; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Meakin S; Department of Health and Social Care, Joint Biosecurity Centre, London SW1H 0EU, UK.
  • Brady OJ; Department of Primary Care and Public Health, Imperial College London, London W6 8RP, UK.
  • Medley GF; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Höhle M; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Edmunds WJ; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Philos Trans R Soc Lond B Biol Sci ; 376(1829): 20200266, 2021 07 19.
Article em En | MEDLINE | ID: mdl-34053271
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pandemias / SARS-CoV-2 / COVID-19 / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Philos Trans R Soc Lond B Biol Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
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XML
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pandemias / SARS-CoV-2 / COVID-19 / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Philos Trans R Soc Lond B Biol Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido