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Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence-Based Infodemiology Study.

Arriel BenisAnat ChatsubiEugene LevnerShai Ashkenazi
Published in: JMIR infodemiology (2021)
This study focused initially on vaccination against influenza and moved to vaccination against COVID-19. Infoveillance supported by machine learning on Twitter and other social media about topics related to vaccines and vaccination against communicable diseases and their trends can lead to the design of personalized messages encouraging targeted subpopulations' engagement in vaccination. A greater likelihood that a targeted population receives a personalized message is associated with higher response, engagement, and proactiveness of the target population for the vaccination process.
Keyphrases
  • social media
  • artificial intelligence
  • machine learning
  • health information
  • big data
  • coronavirus disease
  • deep learning
  • cancer therapy
  • drug delivery