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  • [\'School of Mathematical Sciences, Queen Mary University of London, London, United Kingdom.\', \'Institute for Cross-Disciplinary Physics and Complex Systems IFISC (UIB-CSIC), Palma de Mallorca, Spain.\', \'EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, Devon, United Kingdom.\', \'Taunton and Somerset NHS Foundation Trust, Taunton, Somerset, United Kingdom.\', \'Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom.\', \'Data Science Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom.\', \'The Alan Turing Institute, British Library, London, United Kingdom.\']
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  • -1
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?:doi
  • 10.1371/journal.pone.0241027
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?:journal
  • PloS one
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?:pmid
  • 33085729
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  • 1.164
?:rankingScore_hIndex
  • 241
?:title
  • A flexible method for optimising sharing of healthcare resources and demand in the context of the COVID-19 pandemic.
?:type
?:year
  • 2020

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