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  • Comparing Syndromic Surveillances using Two Aspects: Emergency and Telehealth Data Sources

    Content Type: Abstract

    The objective of this paper is to examine the utility of Emergency Department and Telehealth data for Syndromic Surveillance. This works attempts to minimize false outbreak detection. It also demonstrates that these two data sources contain… read more
    … algorithms use the historical data of the outbreaks as a training set to build a model of this data. A sliding window of several days is used with the sequence data to train the neural networks (NN). Emergency Department (ED) … Two types of outbreak patterns were injected into the training set at a rate of one outbreak per year. These …
  • Comparison of Aberration Detection Algorithms for Syndromic Surveillance

    Content Type: Abstract

    This paper describes a study of various aberration detection algorithms currently used in syndromic surveillance and one based on artificial neural networks developed at Guelph. The goal of the research is not to select one ìwinningî algorithm but… read more
    … By applying the moving average algorithm to a set of training data, various thresholds can be tested that yield …