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

MLA

Ayyoubzadeh, Seyed Mohammad, et al. “Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.” JMIR Public Health and Surveillance, vol. 6, no. 2, Apr. 2020, p. e18828. EBSCOhost, https://doi.org/10.2196/18828.

APA

Ayyoubzadeh, S. M., Ayyoubzadeh, S. M., Zahedi, H., Ahmadi, M., & R Niakan Kalhori, S. (2020). Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study. JMIR Public Health and Surveillance, 6(2), e18828. https://doi.org/10.2196/18828

Chicago

Ayyoubzadeh, Seyed Mohammad, Seyed Mehdi Ayyoubzadeh, Hoda Zahedi, Mahnaz Ahmadi, and Sharareh R Niakan Kalhori. 2020. “Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.” JMIR Public Health and Surveillance 6 (2): e18828. doi:10.2196/18828.