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Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling.
Swallow, Ben; Birrell, Paul; Blake, Joshua; Burgman, Mark; Challenor, Peter; Coffeng, Luc E; Dawid, Philip; De Angelis, Daniela; Goldstein, Michael; Hemming, Victoria; Marion, Glenn; McKinley, Trevelyan J; Overton, Christopher E; Panovska-Griffiths, Jasmina; Pellis, Lorenzo; Probert, Will; Shea, Katriona; Villela, Daniel; Vernon, Ian.
Afiliación
  • Swallow B; School of Mathematics and Statistics, University of Glasgow, Glasgow, UK; Scottish COVID-19 Response Consortium, UK. Electronic address: ben.swallow@glasgow.ac.uk.
  • Birrell P; Analytics & Data Science, UKHSA, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
  • Blake J; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
  • Burgman M; Centre for Environmental Policy, Imperial College London, London, UK.
  • Challenor P; The Alan Turing Institute, London, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
  • Coffeng LE; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Dawid P; Statistical Laboratory, University of Cambridge, Cambridge, UK.
  • De Angelis D; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK; Joint UNIversities Pandemic and Epidemiological Research, UK.
  • Goldstein M; Department of Mathematical Sciences, Durham University, Stockton Road, Durham, UK.
  • Hemming V; Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, Canada.
  • Marion G; Scottish COVID-19 Response Consortium, UK; Biomathematics and Statistics Scotland, Edinburgh, UK.
  • McKinley TJ; College of Medicine and Health, University of Exeter, Exeter, UK; Joint UNIversities Pandemic and Epidemiological Research, UK.
  • Overton CE; Department of Mathematics, University of Manchester, Manchester, UK; Clinical Data Science Unit, Manchester University NHS Foundation Trust, Manchester, UK; Joint UNIversities Pandemic and Epidemiological Research, UK.
  • Panovska-Griffiths J; The Big Data Institute, University of Oxford, Oxford, UK; The Queen's College, University of Oxford, Oxford, UK.
  • Pellis L; Department of Mathematics, University of Manchester, Manchester, UK; Joint UNIversities Pandemic and Epidemiological Research, UK; The Alan Turing Institute, London, UK.
  • Probert W; The Big Data Institute, University of Oxford, Oxford, UK.
  • Shea K; Department of Biology and Centre for Infectious Disease Dynamics, The Pennsylvania State University, PA 16802, USA.
  • Villela D; Program of Scientific Computing, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
  • Vernon I; Department of Mathematical Sciences, Durham University, Stockton Road, Durham, UK.
Epidemics ; 38: 100547, 2022 03.
Article en En | MEDLINE | ID: mdl-35180542
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pandemias Tipo de estudio: Prognostic_studies Idioma: En Revista: Epidemics Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pandemias Tipo de estudio: Prognostic_studies Idioma: En Revista: Epidemics Año: 2022 Tipo del documento: Article