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Commentary on the use of the reproduction number R during the COVID-19 pandemic.
Vegvari, Carolin; Abbott, Sam; Ball, Frank; Brooks-Pollock, Ellen; Challen, Robert; Collyer, Benjamin S; Dangerfield, Ciara; Gog, Julia R; Gostic, Katelyn M; Heffernan, Jane M; Hollingsworth, T Déirdre; Isham, Valerie; Kenah, Eben; Mollison, Denis; Panovska-Griffiths, Jasmina; Pellis, Lorenzo; Roberts, Michael G; Scalia Tomba, Gianpaolo; Thompson, Robin N; Trapman, Pieter.
Afiliação
  • Vegvari C; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, 4615Imperial College London, London, UK.
  • Abbott S; Center for the Mathematical Modelling of Infectious Diseases, 4906London School of Hygiene & Tropical Medicine, UK.
  • Ball F; School of Mathematical Sciences, 6123University of Nottingham, UK.
  • Brooks-Pollock E; Bristol Veterinary School, 1980University of Bristol, UK.
  • Challen R; NIHR Health Protection Research Unit in Behavioural Science and Evaluation at the University of Bristol, UK.
  • Collyer BS; EPSRC Centre for Predictive Modelling in Healthcare, 3286University of Exeter, UK.
  • Dangerfield C; Somerset NHS Foundation Trust, UK.
  • Gog JR; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, 4615Imperial College London, London, UK.
  • Gostic KM; 65899Isaac Newton Institute for Mathematical Sciences, UK.
  • Heffernan JM; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK.
  • Hollingsworth TD; Department of Ecology and Evolution, 2462University of Chicago, USA.
  • Isham V; Centre for Disease Modelling, Mathematics & Statistics, 7991York University, Canada.
  • Kenah E; COVID Modelling Task-Force, The Fields Institute, Canada.
  • Mollison D; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, 6396University of Oxford, UK.
  • Panovska-Griffiths J; Department of Statistical Science, 4919University College London, UK.
  • Pellis L; Division of Biostatistics, College of Public Health, 2647The Ohio State University, USA.
  • Roberts MG; Department of Actuarial Mathematics and Statistics, Heriot-Watt University, UK.
  • Scalia Tomba G; The Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Thompson RN; Wolfson Centre for Mathematical Biology, Mathematical Institute and The Queen's College, University of Oxford, Oxford, UK.
  • Trapman P; Department of Mathematics, 5292The University of Manchester, UK.
Stat Methods Med Res ; 31(9): 1675-1685, 2022 09.
Article em En | MEDLINE | ID: mdl-34569883
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 4_TD Problema de saúde: 1_doencas_nao_transmissiveis / 2_muertes_prematuras_enfermedades_notrasmisibles / 4_pneumonia Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Stat Methods Med Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 4_TD Problema de saúde: 1_doencas_nao_transmissiveis / 2_muertes_prematuras_enfermedades_notrasmisibles / 4_pneumonia Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Stat Methods Med Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido