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. 2020 May 19;22(5):e19334. doi: 10.2196/19334

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©Aravind Sesagiri Raamkumar, Soon Guan Tan, Hwee Lin Wee. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.05.2020.

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.

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Temporal trend analysis for the number of comments and sentiment polarity. CDC_CC: Centers for Disease Control and Prevention's number of comments; CDC_SP: Centers for Disease Control and Prevention's sentiment polarity score; DORSCON: Disease Outbreak Response System Condition; MOH_CC: Ministry of Health's number of comments; MOH_SP: Ministry of Health's sentiment polarity score; PHE_CC: Pubilc Health England's number of comments; PHE_SP: Public Health England's sentiment polarity score; SG: Singapore; WHO: World Health Organization.