Infectious disease outbreak controllability: biological, social and public health factors.

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Title: Infectious disease outbreak controllability: biological, social and public health factors.
Authors: Thompson RN; Mathematical Institute, University of Oxford, Oxford, UK., Bansal S; Department of Biology, Georgetown University, Washington DC, USA., Clapham H; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore., Dyson L; School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, UK., Gutierrez MA; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.; Odum School of Ecology, University of Georgia, Athens, GA, USA., Hadley L; Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.; Department of Computer Science, University of Colorado, Boulder, CO, USA., Hart WS; Mathematical Institute, University of Oxford, Oxford, UK., Heesterbeek H; Department of Population Health Sciences, Utrecht University, Utrecht, The Netherlands., Hollingsworth TD; Big Data Institute, University of Oxford, Oxford, UK., House T; Department of Mathematics, University of Manchester, Manchester, UK., Howerton E; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA., Isham V; Department of Statistical Science, University College London, London, UK., Lessler J; Department of Epidemiology and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA., Leung K; The Hong Kong Jockey Club Global Health Institute , Hong Kong.; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, University of Hong Kong, Hong Kong.; Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong.; University of Hong Kong-Shenzhen Hospital , Shenzhen, People's Republic of China., Li X; School of Mathematics and Statistics, University of St Andrews, St Andrews, UK., McBryde E; Burnet Institute , Melbourne, Australia., McCaw JM; School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia.; Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia., Mollison D; Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, UK., Pan-Ngum W; Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand., Parag K; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK., Pellis L; Department of Mathematics, University of Manchester, Manchester, UK., Scarabel F; School of Mathematics, University of Leeds, Leeds, UK., Swallow B; School of Mathematics and Statistics, University of St Andrews, St Andrews, UK.; Centre for Research into Ecological and Environmental Modelling, University of St Andrews, St Andrews, UK., Thumbi SM; Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.; Institute of Immunology and Infection, University of Edinburgh, Edinburgh, UK.; Paul G. Allen School for Global Health, Washington State University, Pullman, WA, USA., Tran-Kiem C; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA., Viboud C; Fogarty International Center, National Institutes of Health, Bethesda, MD, USA., Plank MJ; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.; Te Pūnaha Matatini, University of Auckland, Auckland, New Zealand.
Source: Proceedings. Biological sciences [Proc Biol Sci] 2026 Jan 28; Vol. 293 (2063).
Publication Type: Journal Article
Journal Info: Publisher: Royal Society of London Country of Publication: England NLM ID: 101245157 Publication Model: Print Cited Medium: Internet ISSN: 1471-2954 (Electronic) Linking ISSN: 09628452 NLM ISO Abbreviation: Proc Biol Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2954
DOI:10.1098/rspb.2025.2848