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Forecasting the COVID-19 Epidemic by Integrating Symptom Search Behavior Into Predictive Models: Infoveillance Study.

Alessandro RabioloEugenio AlladioEsteban MoralesAndrew Ian McNaughtFrancesco Maria BandelloAbdelmonem A AfifiAlessandro Marchese
Published in: Journal of medical Internet research (2021)
The inclusion of digital online searches in statistical models may improve the nowcasting and forecasting of the COVID-19 epidemic and could be used as one of the surveillance systems of COVID-19 disease. We provide a free web application operating with nearly real-time data that anyone can use to make predictions of outbreaks, improve estimates of the dynamics of ongoing epidemics, and predict future or rebound waves.
Keyphrases
  • coronavirus disease
  • sars cov
  • public health
  • respiratory syndrome coronavirus
  • healthcare
  • social media
  • big data
  • electronic health record
  • artificial intelligence