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. 2018 Sep 25;4(3):e65. doi: 10.2196/publichealth.8627

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©Shoko Wakamiya, Yukiko Kawai, Eiji Aramaki. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 25.09.2018.

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 JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.

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Amounts of direct and indirect information in a tweet timeline in Hiroshima from November 1, 2012 to May 31, 2013. The black dashed line shows the timeline of direct information (BASELINE+PROF+NLP), the blue line shows the timeline of direct information and indirect information that are aggregated in a naive way (LINEAR+NLP), the red line shows the timeline of direct information and indirect information that are aggregated by the proposed model (TRAP+NLP), and the red area shows gold standard timeline. The x-axis shows the date, and the y-axis indicates the tweet ratio and the patient ratio (normalized by the max value in the season). GPS: global positioning system; PROF: profile information; NLP: natural language processing.