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  • [\'WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.\', \'Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA.\', \'Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong, China.\', \'WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. bcowling@hku.hk.\', \'Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong, China. bcowling@hku.hk.\']
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  • -1
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?:doi
  • 10.1038/s41467-022-28812-9
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?:journal
  • Nature communications
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?:pmid
  • 35241662
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  • 6.582
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  • 198
?:title
  • Incorporating temporal distribution of population-level viral load enables real-time estimation of COVID-19 transmission.
?:type
?:year
  • 2022

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