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

JMIR Theme Issue: COVID-19 Special Issue (2394) Infodemiology and Infoveillance (1278) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Outbreak and Pandemic Preparedness and Management (1679) Infectious Diseases (non-STD/STI) (1490) Statistical Methods for Surveillance and Population Health (148) Epidemiology (137) Innovative Methods in Public Health and Surveillance (307) Infoveillance and Social Listening (181)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34178, first published .
Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study

Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study

Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study

Authors of this article:

Atina Husnayain1 Author Orcid Image ;   Eunha Shim2 Author Orcid Image ;   Anis Fuad3 Author Orcid Image ;   Emily Chia-Yu Su1, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.