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. 2012 Oct 4;14(5):e125. doi: 10.2196/jmir.2102

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©Fahad Pervaiz, Mansoor Pervaiz, Nabeel Abdur Rehman, Umar Saif. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 04.10.2012.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), 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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US Department of Health and Human Services region 6. The x-axis plots the Google Flu Trends and Centers for Disease Control and Prevention (CDC) data. The horizontal bars indicate where each method detected an epidemic. Cut indicates cut-off point (more is less sensitive) and b indicates baseline data (training window). The thick horizontal bar at the bottom shows the actual outbreak. HCusum = historical cumulative sum, HLM = historical limits method, HNBC = historical negative binomial cumulative sum, ILI = influenza-like illnesses, k = reference value for threshold, NBC = negative binomial cumulative sum, POD = Poisson outbreak detection, PSC = Poisson cumulative sum.