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

Atina Husnayain   1 , MPH ;   Eunha Shim   2 , PhD ;   Anis Fuad   3 , DEA ;   Emily Chia-Yu Su   1, 4 , PhD

1 Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan

2 Department of Mathematics, Soongsil University, Seoul, Republic of Korea

3 Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia

4 Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan

Corresponding Author:

  • Emily Chia-Yu Su, PhD
  • Graduate Institute of Biomedical Informatics
  • College of Medical Science and Technology
  • Taipei Medical University
  • 172-1 Keelung Rd, Sec 2
  • Taipei, 106
  • Taiwan
  • Phone: 886 266382736 ext 1515
  • Email: emilysu@tmu.edu.tw