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. 2019 Feb 25;5(1):e12032. doi: 10.2196/12032

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©Nileena Velappan, Ashlynn Rae Daughton, Geoffrey Fairchild, William Earl Rosenberger, Nicholas Generous, Maneesha Elizabeth Chitanvis, Forest Michael Altherr, Lauren A Castro, Reid Priedhorsky, Esteban Luis Abeyta, Leslie A Naranjo, Attelia Dawn Hollander, Grace Vuyisich, Antonietta Maria Lillo, Emily Kathryn Cloyd, Ashvini Rajendra Vaidya, Alina Deshpande. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 25.02.2019.

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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AIDO case study: Q-fever outbreak in in Bilbao, Spain in 2014. Panel A shows the outbreak comparison graph for the five most similar outbreaks, and a point estimate reflecting the user's situation in this context. Here, line colors with higher saturation correspond to higher similarity. In panel B, the graph shows an outbreak time series for a Q Fever outbreak in Italy in 1993. Panel C shows a breakdown of the similarity score between the user's unfolding outbreak and the historical outbreak. All graphs presented in AIDO are interactive and available for download in multiple formats.