Displaying results 1425 - 1432 of 4182
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A Pilot Study of Aberration Detection Algorithms with Simulated Data
Content Type: Abstract
To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data. read more -
A Robust Expectation-Based Spatial Scan Statistic
Content Type: Abstract
This paper describes a new expectation-based scan statistic that is robust to outliers (individual anomalies at the store level that are not indicative of outbreaks). We apply this method to prospective monitoring of over-the-counter (OTC) drug… read more -
A Scan Statistic Based on Anscombe's Variance Stabilization Transformation
Content Type: Abstract
This paper proposes a new scan statistic which detects disease clusters more accurately than that based on the likelihood ratio. -
A Simple Method of Using Linked Health Data in Syndromic Surveillance
Content Type: Abstract
This paper describes a simple technique for utilizing linked health information in syndromic surveillance. Using knowledge of which patient encounters resulted in laboratory test requests and prescriptions may improve sensitivity and specificity of… read more -
A Space Time Permutation Scan Statistic with Irregular Shape for Disease Outbreak Detection
Content Type: Abstract
This paper describes a methodology for detecting irregular space-time cluster using the space time permutation scan statistic. The methodology includes sequential Monte Carlo simulation and distribution approximation to estimate the error type I. -
A Spatial Scan Statistic Scanning Only the Regions with Elevated Risk
Content Type: Abstract
To propose a new spatial scan statistic that has higher ability of pinpointing the true cluster. -
New challenges in tobacco surveillance: monitoring the prevalence of electronic cigarettes and hookah use in the United States
Content Type: Webinar
Since the 1990s tobacco control strategies --- at least in the United States and some developed countries --- have had considerable success in reducing the number of new smokers and encouraging existing smokers to quit through the creation of a… read more -
A System for Simulation: Introducing Outbreaks into Time Series Data
Content Type: Abstract
Objective Several authors have described ways to introduce artificial outbreaks into time series for the purpose of developing, testing, and evaluating the effectiveness and timeliness of anomaly detection algorithms, and more… read more