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 MarchesePublished 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.