Displaying results 1 - 6 of 6
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Cluster Detection Comparison in Syndromic Surveillance
Content Type: Abstract
The New York City Department of Health and Mental Hygiene (NYC DOHMH) collects data daily from 50 of 61 (82%) emergency departments (EDs) in NYC representing 94% of all ED visits (avg daily visits ~10,000). The information… read more -
A Comparison of SaTScan and FleXScan for Outbreak Detection and Monitoring
Content Type: Abstract
This paper describes a comparison between two statistics ñ SaTScan and FleXScan, applying to a data of absentees in primary school in Japan. -
A Flexible Space-Time Scan Statistic for Disease Outbreak Detection and Monitoring
Content Type: Abstract
A time periodic geographic disease surveillance system based on a cylindrical space-time scan statistic proposed by Kulldorff [1] has been used extensively for disease surveillance along with the SaTScan software. This statistic is based on a… read more -
A New Space-Time Scan Statistic for Timely Outbreak Detection Taking Overdispersion Into Account
Content Type: Abstract
To propose a new space-time scan statistic taking overdispersion into account for accurate and timely detection of disease outbreaks. -
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 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.