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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Quality/Credibility of eHealth Information and Trust Issues (531) Information Quality in Digital Media (340) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20775, first published .
Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study

Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study

Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study

Authors of this article:

Hana Moon1 Author Orcid Image ;   Geon Ho Lee1 Author Orcid Image
Article Authors Cited by (59) Tweetations (5) Metrics

Hana Moon   1 , MD, PhD ;   Geon Ho Lee   1 , MD, MSc

1 Department of Family Medicine, School of Medicine, Daegu Catholic University, Daegu, Republic of Korea

Corresponding Author:

  • Geon Ho Lee, MD, MSc
  • Department of Family Medicine
  • School of Medicine
  • Daegu Catholic University
  • 33, Duryugongwon-ro 17-gil, Nam-gu
  • Daegu, 42472
  • Republic of Korea
  • Phone: 82 53-650-4696
  • Fax: 82 53-650-4122
  • Email: totoslee@cu.ac.kr