Displaying results 1 - 3 of 3
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Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data
Content Type: Abstract
As technology advances, the implementation of statistically and computationally intensive methods to detect unusual clusters of illness becomes increasingly feasible at the state and local level [2]. Bayesian methods allow for the incorporation of… read more -
Detecting Unanticipated Increases in Emergency Department Chief Complaint Keywords
Content Type: Abstract
The CC text field is a rich source of information, but its current use for syndromic surveillance is limited to a fixed set of syndromes that are routine, suspected, expected, or discovered by chance. In addition to syndromes that are routinely… read more -
Building a Better Syndromic Surveillance System: the New York City Experience
Content Type: Abstract
The New York City (NYC) syndromic surveillance system has monitored syndromes from NYC emergency department (ED) visits since 2001, using the temporal and spatial scan statistic in SaTScan for aberration detection. Since our syndromic system was… read more