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  • Recursive Least Squares Prediction of Syndromic Data for Surveillance

    Content Type: Abstract

    This paper describes a method to predict syndromic data for surveillance of public health using the method of recursive least squares and a new method of correcting for the day of week effect in order to have a prediction of… read more
    … Submitted by elamb on Tue, 03/26/2019 - 16:22 … order to have a prediction of the background upon which de- tections of actual events can be computed. BACKGROUND … line using linear transformations of the fitted lines. All correction coefficients are computed adaptively and are …
  • Minimizing False Alarms in Syndromic Surveillance

    Content Type: Abstract

    This paper describes a method of avoiding false alerts in automated syndromic surveillance algorithms which monitor the temporal relationship between a particular monitored syndrome (the ìtargetî) in relationship to other reference healthcare data… read more
    … is to use suitably-normalized syndromic counts (i.e., ratios or proportions) instead of the individual … is not obvious. One recent approach [2] has been to use all possible pair-wise ratios in an epidemiological network …