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The reliability of tweets as a supplementary method of seasonal influenza surveillance.

Anoshé A AslamMing-Hsiang TsouBrian H SpitzbergLi AnJ Mark GawronDipak K GuptaK Michael PeddecordAnna C NagelChristopher AllenJiue-An YangSuzanne Lindsay
Published in: Journal of medical Internet research (2014)
Compared to tweet analyses in the previous influenza season, this study demonstrated increased accuracy in using Twitter as a supplementary surveillance tool for influenza as better filtering and classification methods yielded higher correlations for the 2013-2014 influenza season than those found for tweets in the previous influenza season, where emergency department ILI rates were better correlated to tweets than sentinel-provided ILI rates. Further investigations in the field would require expansion with regard to the location that the tweets are collected from, as well as the availability of more ILI data.
Keyphrases
  • emergency department
  • public health
  • machine learning
  • deep learning
  • electronic health record
  • data analysis
  • adverse drug