Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18828, first published .
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study

Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study

Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study

Seyed Mohammad Ayyoubzadeh 1, MSc;  Seyed Mehdi Ayyoubzadeh 2, BSc;  Hoda Zahedi 3, BSc;  Mahnaz Ahmadi 4, MSc;  Sharareh R Niakan Kalhori 1, PhD

1 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran , IR

2 Department of Electrical and Computer Engineering, McMaster University , Hamilton, ON, CA

3 School of Health Management and Information Sciences, Iran University of Medical Sciences , Tehran , IR

4 Department of Pharmaceutics, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran , IR

Corresponding Author:

  • Sharareh R Niakan Kalhori, PhD
  • Department of Health Information Management
  • School of Allied Medical Sciences
  • Tehran University of Medical Sciences
  • 3rd Floor, No 17
  • Farredanesh Alley, Ghods St, Enghelab Ave
  • Tehran
  • IR
  • Phone: 98 21-88983025
  • Email: niakan2@gmail.com