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Research Ethics in the European Influenzanet Consortium: Scoping Review.

Lester Darryl GenevièveBernice Simone ElgerDamien DietrichOlivia Woolley-MezaAntoine FlahaultBernice Simonne Elger
Published in: JMIR public health and surveillance (2018)
Epidemics forecasting activities, such as Influenzanet, are beneficial; however, its benefits could be further increased through the harmonization of data gathering and ethical requirements. This objective is achievable by the Consortium. More transparency should be promoted concerning REC-approved research for Influenzanet-like systems. The validity of informed e-consent could also be increased through the provision of a user friendly and standard information sheet across the Consortium where participants agree to its terms, conditions, and privacy policies before being able to fill in the questionnaire. This will help to build trust in the general public while preventing any decline in participation.
Keyphrases
  • big data
  • health information
  • public health
  • healthcare
  • physical activity
  • electronic health record
  • mental health
  • machine learning
  • artificial intelligence
  • cross sectional
  • social media
  • adverse drug
  • deep learning