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Surveillance of communicable diseases using social media: A systematic review.

Patrick PilipiecIsak SamstenAndrás Bota
Published in: PloS one (2023)
Text mining of health-related content published on social media can serve as a novel and powerful tool for the automated, real-time, and remote monitoring of public health and for the surveillance and prediction of communicable diseases in particular. This tool can address limitations related to traditional surveillance methods, and it has the potential to supplement traditional methods for public health surveillance.
Keyphrases
  • public health
  • social media
  • health information
  • global health
  • machine learning
  • deep learning
  • healthcare
  • risk assessment
  • randomized controlled trial
  • systematic review
  • meta analyses