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Associations of Topics of Discussion on Twitter With Survey Measures of Attitudes, Knowledge, and Behaviors Related to Zika: Probabilistic Study in the United States.

Mohsen FarhadlooKenneth WinnegMan-Pui Sally ChanKathleen Hall JamiesonDolores Albarracin
Published in: JMIR public health and surveillance (2018)
Our results demonstrated that it is possible to uncover topics of discussions from Twitter communications that are associated with the Zika-related attitudes, knowledge, and behaviors of populations over time. Social media data can be used as a complementary source of information alongside traditional data sources to gauge the patterns of attitudes, knowledge, and behaviors in a population.
Keyphrases
  • social media
  • health information
  • healthcare
  • zika virus
  • mental health
  • electronic health record
  • dengue virus
  • big data
  • aedes aegypti
  • cross sectional
  • machine learning