Login / Signup

Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study.

Ashlynn Rae DaughtonRumi ChunaraMichael J Paul
Published in: JMIR public health and surveillance (2020)
To our knowledge, this is the first instance of an attempt to use a ground truth dataset to validate infectious disease observations in social media data. The lack of signal, the lack of predictability among behaviors or topics, and the demonstrated volunteer bias in the study population are important findings for the large and growing body of disease surveillance using internet-sourced data.
Keyphrases
  • social media
  • health information
  • electronic health record
  • public health
  • big data
  • infectious diseases
  • healthcare
  • liver failure
  • intellectual disability
  • autism spectrum disorder
  • artificial intelligence
  • drug induced