Displaying results 1 - 5 of 5
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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 -
The Day-of-the-Week Effect: A Study Across the Indiana Public Health Emergency Surveillance System
Content Type: Abstract
Complex, highly parameterized data models are often used to detect syndromic outbreaks. Unfortunately, such models can pose greater maintenance challenges as parameter variations increase. As such, our work focuses on whether day… 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. -
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 -
Enabling Syndromic Surveillance in Pakistan
Content Type: Abstract
Objective: This work presents our first steps in developing a Global Real-time Infectious Disease Surveillance System (GRIDDS) employing robust and novel in-fectious disease epidemiology models with real-time inference and pre/exercise planning… read more