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Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges.
Alahmadi, Amani; Belet, Sarah; Black, Andrew; Cromer, Deborah; Flegg, Jennifer A; House, Thomas; Jayasundara, Pavithra; Keith, Jonathan M; McCaw, James M; Moss, Robert; Ross, Joshua V; Shearer, Freya M; Tun, Sai Thein Than; Walker, James; White, Lisa; Whyte, Jason M; Yan, Ada W C; Zarebski, Alexander E.
Affiliation
  • Alahmadi A; School of Mathematics, Faculty of Science, Monash University, Melbourne, Australia.
  • Belet S; School of Mathematics, Faculty of Science, Monash University, Melbourne, Australia; Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).
  • Black A; School of Mathematical Sciences, University of Adelaide, Adelaide, Australia; Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).
  • Cromer D; Kirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia and School of Mathematics and Statistics, UNSW Sydney, Sydney, Australia.
  • Flegg JA; School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia. Electronic address: jennifer.flegg@unimelb.edu.au.
  • House T; Department of Mathematics, University of Manchester, Manchester, UK; IBM Research, Hartree Centre, Sci-Tech Daresbury, Warrington, UK. Electronic address: thomas.house@manchester.ac.uk.
  • Jayasundara P; School of Public Health and Community Medicine, UNSW Sydney, Sydney, Australia.
  • Keith JM; School of Mathematics, Faculty of Science, Monash University, Melbourne, Australia; Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).
  • McCaw JM; School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia. Electronic address: jam
  • Moss R; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.
  • Ross JV; School of Mathematical Sciences, University of Adelaide, Adelaide, Australia; Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). Electronic address: joshua.ross@adelaide.edu.au.
  • Shearer FM; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.
  • Tun STT; Big Data Institute, Nuffield Department of Medicine, University of Oxford, UK.
  • Walker J; School of Mathematical Sciences, University of Adelaide, Adelaide, Australia.
  • White L; Big Data Institute, Nuffield Department of Medicine, University of Oxford, UK.
  • Whyte JM; Centre of Excellence for Biosecurity Risk Analysis (CEBRA), School of BioSciences, University of Melbourne, Melbourne, Australia; Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).
  • Yan AWC; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
  • Zarebski AE; Department of Zoology, The University of Oxford, Oxford, UK.
Epidemics ; 32: 100393, 2020 09.
Article in En | MEDLINE | ID: mdl-32674025

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Public Health / Communicable Diseases / Health Policy / Models, Theoretical Type of study: Prognostic_studies Limits: Humans Language: En Journal: Epidemics Year: 2020 Type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Public Health / Communicable Diseases / Health Policy / Models, Theoretical Type of study: Prognostic_studies Limits: Humans Language: En Journal: Epidemics Year: 2020 Type: Article Affiliation country: Australia