Displaying results 33 - 40 of 535
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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 -
An Experimental Fully Automatic Syndromic Surveillance in Japan
Content Type: Abstract
Since we donÃt know when such a disaster may occur, we have to perform this syndromic surveillance routinely, and thus the system should be automatic. Namely, information is drawn from electronic medical records (EMR), and is statistical analyzed,… read more -
An Innovative Design for Conducting Simulation Exercises on Electronic Disease Surveillance System
Content Type: Abstract
In order to be best prepared to identify health events using electronic disease surveillance systems, it is vital for users to participate in regular exercises that realistically simulate how events may present in their system following disease… read more -
Enhanced Aedes spp. surveillance across jurisdictions in Arizona’s border region
Content Type: Abstract
As part of a statewide effort to enhance surveillance for Aedes spp.mosquitoes the Office of Border Health (OBH) took the lead inproviding technical assistance on surveillance in counties bordering Mexico. In 2016, OBH sought ways to enhance… read more -
Comparison of Chief-Complaint vs ICD-9 Data Used in an Emergency Department-Based Hospital Syndromic Surveillance System in Metropolitan Taipei, Taiwan
Content Type: Abstract
The 2003 outbreak of severe acute respiratory syndrome (SARS) in Taiwan provided accelerated us to develop the most timely surveillance system1. Taipei, a metropolitan with many travelers annually, requires the earliest warningand immediate… read more -
Comparison of ICD-9-Coded Chief Complaints and Diagnoses for Identifying Gastrointestinal Syndrome Using ESSENCE
Content Type: Abstract
The purpose of this study was to determine if existing chief complaint and ICD-9 codes for detecting gastrointestinal syndrome correctly identify similar patterns of illness when applied to the Electronic Surveillance System for the Early… read more -
Comparison of Parallel and Consensus Monitoring Approaches for Multistream Influenza Monitoring in Ontario
Content Type: Abstract
To retrospectively ascertain whether a parallel or consensus monitoring approach is better suited to multistream surveillance of influenza in Ontario. -
Comparison of Regression Models with Modified Time Series Methods for BioSurveillance
Content Type: Abstract
To compare regression models with the modified C2 algorithm for analysis of time series data and real time outbreak detection.