요약정보
Key questions for modelling COVID-19 exit strategies.
- Resource Type
- Academic Journal
- Authors
- Thompson RN; Mathematical Institute, University of Oxford, Woodstock Road, Oxford OX2 6GG, UK.; Christ Church, University of Oxford, St Aldates, Oxford OX1 1DP, UK.; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.; Hollingsworth TD; Big Data Institute, University of Oxford, Old Road Campus, Oxford OX3 7LF, UK.; Isham V; Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK.; Arribas-Bel D; School of Environmental Sciences, University of Liverpool, Brownlow Street, Liverpool L3 5DA, UK.; The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB, UK.; Ashby B; Department of Mathematical Sciences, University of Bath, North Road, Bath BA2 7AY, UK.; Britton T; Department of Mathematics, Stockholm University, Kräftriket, 106 91 Stockholm, Sweden.; Challenor P; College of Engineering, Mathematical and Physical Sciences, University of Exeter, Exeter EX4 4QE, UK.; Chappell LHK; Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK.; Clapham H; Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive, Singapore 117549, Singapore.; Cunniffe NJ; Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK.; Dawid AP; Statistical Laboratory, University of Cambridge, Wilberforce Road, Cambridge CB3 0WB, UK.; Donnelly CA; Department of Statistics, University of Oxford, St Giles', Oxford OX1 3LB, UK.; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W2 1PG, UK.; Eggo RM; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.; Funk S; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.; Gilbert N; Department of Sociology, University of Surrey, Stag Hill, Guildford GU2 7XH, UK.; Glendinning P; Department of Mathematics, University of Manchester, Oxford Road, Manchester M13 9PL, UK.; Gog JR; Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK.; Hart WS; Mathematical Institute, University of Oxford, Woodstock Road, Oxford OX2 6GG, UK.; Heesterbeek H; Department of Population Health Sciences, Utrecht University, Yalelaan, 3584 CL Utrecht, The Netherlands.; House T; IBM Research, The Hartree Centre, Daresbury, Warrington WA4 4AD, UK.; Mathematics Institute, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK.; Keeling M; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK.; Kiss IZ; School of Mathematical and Physical Sciences, University of Sussex, Falmer, Brighton BN1 9QH, UK.; Kretzschmar ME; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, The Netherlands.; Lloyd AL; Biomathematics Graduate Program and Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA.; McBryde ES; Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia.; McCaw JM; School of Mathematics and Statistics, University of Melbourne, Carlton, Victoria 3010, Australia.; McKinley TJ; College of Medicine and Health, University of Exeter, Barrack Road, Exeter EX2 5DW, UK.; Miller JC; Department of Mathematics and Statistics, La Trobe University, Bundoora, Victoria 3086, Australia.; Morris M; Department of Sociology, University of Washington, Savery Hall, Seattle, WA 98195, USA.; O'Neill PD; School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.; Parag KV; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W2 1PG, UK.; Pearson CAB; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.; South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Jonkershoek Road, Stellenbosch 7600, South Africa.; Pellis L; Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK.; Pulliam JRC; South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Jonkershoek Road, Stellenbosch 7600, South Africa.; Ross JV; School of Mathematical Sciences, University of Adelaide, South Australia 5005, Australia.; Tomba GS; Department of Mathematics, University of Rome Tor Vergata, 00133 Rome, Italy.; Silverman BW; Department of Statistics, University of Oxford, St Giles', Oxford OX1 3LB, UK.; Rights Lab, University of Nottingham, Highfield House, Nottingham NG7 2RD, UK.; Struchiner CJ; Escola de Matemática Aplicada, Fundação Getúlio Vargas, Praia de Botafogo, 190 Rio de Janeiro, Brazil.; Tildesley MJ; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK.; Trapman P; Department of Mathematics, Stockholm University, Kräftriket, 106 91 Stockholm, Sweden.; Webb CR; Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK.; Mollison D; Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh EH14 4AS, UK.; Restif O; Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK.
- Source
- Publisher:
Royal Society of London Country of Publication: England NLM ID: 101245157 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2954 (Electronic) Linking ISSN:09628452 NLM ISO Abbreviation: Proc Biol Sci Subsets: MEDLINE - Subject
- Language
- English