Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28876, first published .
Forecasting the COVID-19 Epidemic by Integrating Symptom Search Behavior Into Predictive Models: Infoveillance Study

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

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

Alessandro Rabiolo 1*, MD;  Eugenio Alladio 2*, PhD;  Esteban Morales 3, MSc;  Andrew Ian McNaught 1, 4, MD;  Francesco Bandello 5, MD;  Abdelmonem A Afifi 6, PhD;  Alessandro Marchese 5, MD

1 Department of Ophthalmology, Gloucestershire Hospitals NHS Foundation Trust , Cheltenham , GB

2 Department of Chemistry, University of Turin , Turin , IT

3 Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, US

4 School of Health Professions, Faculty of Health, University of Plymouth, Plymouth , GB

5 Department of Ophthalmology, Vita-Salute University, IRCCS Ospedale San Raffaele Scientific Institute , Milan , IT

6 Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, US

*these authors contributed equally

Corresponding Author: