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OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing.
Hinch, Robert; Probert, William J M; Nurtay, Anel; Kendall, Michelle; Wymant, Chris; Hall, Matthew; Lythgoe, Katrina; Bulas Cruz, Ana; Zhao, Lele; Stewart, Andrea; Ferretti, Luca; Montero, Daniel; Warren, James; Mather, Nicole; Abueg, Matthew; Wu, Neo; Legat, Olivier; Bentley, Katie; Mead, Thomas; Van-Vuuren, Kelvin; Feldner-Busztin, Dylan; Ristori, Tommaso; Finkelstein, Anthony; Bonsall, David G; Abeler-Dörner, Lucie; Fraser, Christophe.
Afiliación
  • Hinch R; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Probert WJM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Nurtay A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Kendall M; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Wymant C; Department of Statistics, University of Warwick, Warwick, United Kingdom.
  • Hall M; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Lythgoe K; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Bulas Cruz A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Zhao L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Stewart A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Ferretti L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Montero D; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Warren J; IBM United Kingdom, Portsmouth, United Kingdom.
  • Mather N; IBM United Kingdom, Portsmouth, United Kingdom.
  • Abueg M; IBM United Kingdom, Portsmouth, United Kingdom.
  • Wu N; Google Research, Mountain View, California, United States of America.
  • Legat O; Google Research, Mountain View, California, United States of America.
  • Bentley K; Google Research, Mountain View, California, United States of America.
  • Mead T; The Francis Crick Institute, London, United Kingdom.
  • Van-Vuuren K; Department of Informatics, Kings College London, London, United Kingdom.
  • Feldner-Busztin D; The Francis Crick Institute, London, United Kingdom.
  • Ristori T; Department of Informatics, Kings College London, London, United Kingdom.
  • Finkelstein A; The Francis Crick Institute, London, United Kingdom.
  • Bonsall DG; The Francis Crick Institute, London, United Kingdom.
  • Abeler-Dörner L; Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States of America.
  • Fraser C; Department of Computer Science, University College London, London, United Kingdom.
PLoS Comput Biol ; 17(7): e1009146, 2021 07.
Article en En | MEDLINE | ID: mdl-34252083
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Análisis de Sistemas / Trazado de Contacto / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Análisis de Sistemas / Trazado de Contacto / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido