Displaying results 505 - 512 of 537
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Arizona Sonora Binational Cases: five years of surveillance
Content Type: Abstract
Infectious diseases can spread across borders. The Arizona Department of Health Services (ADHS) collects information on binational infectious disease cases and shares it with Mexico. Infectious disease investigation in Arizona is enhanced by using… read more -
Evaluation Activities from the National Syndromic Surveillance Program
Content Type: Abstract
Syndromic surveillance uses near-real-time Emergency Department healthcare and other data to improve situational awareness and inform activities implemented in response to public health concerns. The National Syndromic Surveillance Program (NSSP) is… read more -
Syndromic Surveillance – Reports of Successes from the Field
Content Type: Abstract
Syndromic surveillance uses near-real-time emergency department and other health care data for enhancing public health situational awareness and informing public health activities. In recent years, continued progress has been made in developing and… read more -
An Empirical Comparison of Spatial Scan Statistics for Outbreak Detection
Content Type: Abstract
We present a systematic empirical comparison of five recently proposed expectation-based scan statistics, in order to determine which methods are most successful for which spatial disease surveillance tasks. -
An Empirical Study of the Effect of Sentinel Sample Size in Syndromic Surveillance Using a Space-Time Permutation Method
Content Type: Abstract
Our goal was to assess the impact of sentinel sample size and criteria for a signal on performance of daily prospective space-time permutation detection by comparing results in varying size random samples from a large health plan to results found in… read more -
An Evaluation of Wavelet-Based Techniques for Prediction and Anomaly Detection in Univariate Syndromic Data
Content Type: Abstract
While several authors have advocated wavelets for biosurveillance, there are few published wavelet method evaluations using real syndromic data. Goldenberg et al. performed an analysis using wavelet predictions as a way of detecting a… read more -
An Examination of Syndromic Surveillance for Early Detection of Nosocomial Outbreaks
Content Type: Abstract
So as to be able to detect nosocomial outbreaks at an early stage, we examine the construction of a syndromic surveillance system for inpatients who have fever, respiratory symptoms, diarrhea, vomiting or rash and evaluate its statistical properties. -
An Expectation-Based Scan Statistic for Detection of Space-Time Clusters
Content Type: Abstract
This paper describes a new class of space-time scan statistics designed for rapid detection of emerging disease clusters. We evaluate these methods on the task of prospective disease surveillance, and show that our methods consistently outperform… read more
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