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Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK.
Dangerfield, Ciara E; David Abrahams, I; Budd, Chris; Butchers, Matt; Cates, Michael E; Champneys, Alan R; Currie, Christine S M; Enright, Jessica; Gog, Julia R; Goriely, Alain; Déirdre Hollingsworth, T; Hoyle, Rebecca B; Isham, Valerie; Jordan, Joanna; Kaouri, Maha H; Kavoussanakis, Kostas; Leeks, Jane; Maini, Philip K; Marr, Christie; Merritt, Clare; Mollison, Denis; Ray, Surajit; Thompson, Robin N; Wakefield, Alexandra; Wasley, Dawn.
Afiliação
  • Dangerfield CE; Isaac Newton Institute to Mathematical Sciences, University of Cambridge, United Kingdom; Joint UNIversities Pandemic and Epidemiological Research (JUNIPER) Consortium, United Kingdom(1). Electronic address: ced57@cam.ac.uk.
  • David Abrahams I; Department for Applied Mathematics and Theoretical Physics, University of Cambridge, United Kingdom.
  • Budd C; Department of Mathematics, University of Bath, United Kingdom.
  • Butchers M; Department of Mathematics, University of Bath, United Kingdom.
  • Cates ME; Department for Applied Mathematics and Theoretical Physics, University of Cambridge, United Kingdom.
  • Champneys AR; Department of Engineering Mathematics, University of Bristol, United Kingdom.
  • Currie CSM; School of Mathematical Sciences, University of Southampton, United Kingdom.
  • Enright J; School of Computing Science, University of Glasgow, United Kingdom.
  • Gog JR; Joint UNIversities Pandemic and Epidemiological Research (JUNIPER) Consortium, United Kingdom(1); Department for Applied Mathematics and Theoretical Physics, University of Cambridge, United Kingdom.
  • Goriely A; Mathematical Institute, University of Oxford, United Kingdom.
  • Déirdre Hollingsworth T; Joint UNIversities Pandemic and Epidemiological Research (JUNIPER) Consortium, United Kingdom(1); Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, United Kingdom.
  • Hoyle RB; School of Mathematical Sciences, University of Southampton, United Kingdom.
  • Ini Professional Services; Isaac Newton Institute to Mathematical Sciences, University of Cambridge, United Kingdom.
  • Isham V; Department of Statistical Science, University College London, United Kingdom.
  • Jordan J; Independent, United Kingdom.
  • Kaouri MH; Isaac Newton Institute to Mathematical Sciences, University of Cambridge, United Kingdom.
  • Kavoussanakis K; EPCC, The University of Edinburgh, United Kingdom.
  • Leeks J; Isaac Newton Institute to Mathematical Sciences, University of Cambridge, United Kingdom.
  • Maini PK; Mathematical Institute, University of Oxford, United Kingdom.
  • Marr C; Isaac Newton Institute to Mathematical Sciences, University of Cambridge, United Kingdom.
  • Merritt C; Isaac Newton Institute to Mathematical Sciences, University of Cambridge, United Kingdom.
  • Mollison D; Department of Actuarial Mathematics and Statistics, Heriot-Watt University, United Kingdom.
  • Ray S; School of Mathematics and Statistics, University of Glasgow, United Kingdom.
  • Thompson RN; Mathematics Institute, University of Warwick, United Kingdom; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, United Kingdom.
  • Wakefield A; The Royal Society, London, United Kingdom.
  • Wasley D; International Centre for Mathematical Sciences, University of Edinburgh & Heriot-Watt University, United Kingdom.
J Theor Biol ; 557: 111332, 2023 01 21.
Article em En | MEDLINE | ID: mdl-36323393
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Limite: Humans País/Região como assunto: Europa Idioma: En Revista: J Theor Biol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Limite: Humans País/Região como assunto: Europa Idioma: En Revista: J Theor Biol Ano de publicação: 2023 Tipo de documento: Article