This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Data Science (278) Infodemiology and Infoveillance (1369) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) JMIR Theme Issue: COVID-19 Special Issue (2461)

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

Authors of this article:

Seyed Mohammad Ayyoubzadeh1 Author Orcid Image ;   Seyed Mehdi Ayyoubzadeh2 Author Orcid Image ;   Hoda Zahedi3 Author Orcid Image ;   Mahnaz Ahmadi4 Author Orcid Image ;   Sharareh R Niakan Kalhori1 Author Orcid Image
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