Displaying results 1 - 8 of 14
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A Novel, Context-Sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection
Content Type: Abstract
The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by… read more -
A Visual Analytics Toolkit for Evaluating Potential Syndromic Outbreaks
Content Type: Abstract
Our toolkit adds statistical trend analysis, interactive plots, and kernel density estimation to an existing spatio-temporal visualization platform. The goal of these tools is to provide both a quick assessment of the current… read more -
Evaluating the Performance of a Spatial Scan Statistic Using Simulated Outbreak Characteristics
Content Type: Abstract
Research evaluating the use of spatial data for surveillance purposes is ongoing and evolving. As spatial methods evolve, it is important to characterize their effectiveness in real-world settings. Assessing the performance of… read more -
Enhancing Syndromic Surveillance through Cross-border Data Sharing
Content Type: Abstract
In the fall of 2006, the Ohio Department of Health (ODH) and the Indiana State Department of Health (ISDH) proactively began general discussions regarding surveillance issues of mutual interest. Both states, having operational… read more -
Privacy Protection versus Cluster Detection in Spatial Epidemiology
Content Type: Abstract
With the widespread deployment of near real time population health monitoring, there is increasing focus on spatial cluster detection for identifying disease outbreaks. These spatial epidemiologic methods rely on knowledge of patient location to… read more -
STL and Local Regression for Modeling Disease Surveillance Counts
Content Type: Abstract
Numerous methods have been applied to the problem of modeling temporal properties of disease surveillance data; the ESSENCE system contains a widely used approach (1). STL (2) is a flexible, wellproven method for temporal… read more -
LAHVA: Linked Animal-Human Health Visual Analytics
Content Type: Abstract
This paper describes our integrated visual analytics framework for analyzing both human emergency room data and veterinary hospital data. -
Operational Considerations and Early Successes with a Statewide Public Health Surveillance System
Content Type: Abstract
In 2004, the Indiana State Department of Health (ISDH) partnered with the Regenstrief Institute to begin collecting syndromic data from 14 ED’s to monitor bioterrorism-related events and other public health emergencies. Today, Indiana’s public… read more