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  • [\'Department of Statistics, Stanford University, Stanford, California, United States of America.\', \'University of Maryland, Baltimore County, Baltimore, Maryland, United States of America.\', \'Booz Allen Hamilton, Columbia, Maryland, United States of America.\', \'Computational Health Informatics Program, Boston Children\'s Hospital, Boston, Massachusetts, United States of America.\', \'Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, United States of America.\', \'Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.\', \'Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America.\']
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  • -1
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?:doi
?:doi
  • 10.1371/journal.pcbi.1008994
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?:journal
  • PLoS computational biology
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?:pmid
  • 34138845
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  • 3.097
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  • 138
?:title
  • Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches.
?:type
?:year
  • 2021

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