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

JMIR Theme Issue: COVID-19 Special Issue (2175) Infodemiology and Infoveillance (1053) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (869) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1361) Outbreak and Pandemic Preparedness and Management (1496) Infectious Diseases (non-STD/STI) (1256) Statistical Methods for Surveillance and Population Health (117) Epidemiology (99) Innovative Methods in Public Health and Surveillance (250) Infoveillance and Social Listening (139)

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 Husnayain 1 Author Orcid Image ;   Eunha Shim 2 Author Orcid Image ;   Anis Fuad 3 Author Orcid Image ;   Emily Chia-Yu Su 1, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations (6) Metrics

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  1. Strzelecki A. The Apple Mobility Trends Data in Human Mobility Patterns during Restrictions and Prediction of COVID-19: A Systematic Review and Meta-Analysis. Healthcare 2022;10(12):2425 View
  2. Ravkin H, Yom-Tov E, Nesher L. The Effect of Nonpharmaceutical Interventions Implemented in Response to the COVID-19 Pandemic on Seasonal Respiratory Syncytial Virus: Analysis of Google Trends Data. Journal of Medical Internet Research 2022;24(12):e42781 View
  3. Niu Q, Liu J, Zhao Z, Onishi M, Kawaguchi A, Bandara A, Harada K, Aoyama T, Nagai-Tanima M. Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study. BMC Infectious Diseases 2022;22(1) View
  4. Cha E, Jeon H, Landenmark H. The effect of COVID-19 pandemic on sleep-related problems in adults and elderly citizens: An infodemiology study using relative search volume data. PLOS ONE 2022;17(7):e0271059 View
  5. Athanasiou M, Fragkozidis G, Zarkogianni K, Nikita K. Long Short-term Memory–Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation. Journal of Medical Internet Research 2023;25:e42519 View