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. 2020 Sep 17;6(3):e18281. doi: 10.2196/18281

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©Mehnaz Adnan, Xiaoying Gao, Xiaohan Bai, Elizabeth Newbern, Jill Sherwood, Nicholas Jones, Michael Baker, Tim Wood, Wei Gao. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 17.09.2020.

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 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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Actual notified case counts and prediction results 1 to 5 days ahead for all developed models, with their prediction errors based on relative root mean square error. The best model performance with the lowest prediction error (relative root mean square error) in each time series is shown as a bold line. ABS: abseentism; AR: autoregressive; CHL: consumer helpline; GP: general practice; GT: Google Trends.