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  • [\'Department of Zoology, University of Oxford, Oxford, UK.\', \'Merton College, University of Oxford, Oxford, UK.\', \'Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.\', \'Department for Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.\', \'Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.\', \'School of Biological Sciences, University of East Anglia, Norwich, UK. l.spurgin@uea.ac.uk.\']
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  • -1
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?:doi
?:doi
  • 10.1038/s41591-020-1036-8
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?:journal
  • Nature medicine
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?:pmid
  • 32770169
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is ?:relation_isRelatedTo_publication of
?:title
  • Using a real-world network to model localized COVID-19 control strategies.
?:type
?:year
  • 2020

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