Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28926, first published .
Correction: COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication

Correction: COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication

Correction: COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication

Corrigenda and Addenda

1Data Science Group, Institute for Basic Science, Daejeon, Republic of Korea

2Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

3Electrical and Electronic Engineering, Phenikaa University, Hanoi, Vietnam

*these authors contributed equally

Corresponding Author:

Meeyoung Cha, PhD

Data Science Group

Institute for Basic Science

55, Expo-ro, Yuseong-gu

Daejeon, 34126

Republic of Korea

Phone: 82 428788114

Fax:82 428788079

Email: meeyoung.cha@gmail.com



In “COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication” (J Med Internet Res 2021;23(3):e23272) the authors noted one error.

In the originally published article, the caption of Figure 10 was incorrectly described. It read as follows:

Daily topic trends in Vietnam based on the number of tweets.

This has been corrected to:

Daily topic trends in India based on the number of tweets.

The correction will appear in the online version of the paper on the JMIR Publications website on March 29, 2021, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Edited by G Eysenbach; This is a non–peer-reviewed article. submitted 18.03.21; accepted 23.03.21; published 29.03.21

Copyright

©Sungkyu Park, Sungwon Han, Jeongwook Kim, Mir Majid Molaie, Hoang Dieu Vu, Karandeep Singh, Jiyoung Han, Wonjae Lee, Meeyoung Cha. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.03.2021.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.