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Engagement and adherence trade-offs for SARS-CoV-2 contact tracing.
Lucas, Tim C D; Davis, Emma L; Ayabina, Diepreye; Borlase, Anna; Crellen, Thomas; Pi, Li; Medley, Graham F; Yardley, Lucy; Klepac, Petra; Gog, Julia; Déirdre Hollingsworth, T.
Afiliação
  • Lucas TCD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Davis EL; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Ayabina D; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Borlase A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Crellen T; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Pi L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Medley GF; MathSys CDT, University of Warwick, Coventry, UK.
  • Yardley L; Centre for Mathematical Modelling of Infectious Disease and Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.
  • Klepac P; School of Psychology, University of Southampton, Southampton, UK.
  • Gog J; School of Psychological Science, University of Bristol, Bristol, UK.
  • Déirdre Hollingsworth T; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Philos Trans R Soc Lond B Biol Sci ; 376(1829): 20200270, 2021 07 19.
Article em En | MEDLINE | ID: mdl-34053257
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Busca de Comunicante / Pandemias / COVID-19 / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans 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
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Busca de Comunicante / Pandemias / COVID-19 / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Philos Trans R Soc Lond B Biol Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido