Displaying results 1 - 5 of 5
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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… detected by the circular spatial scan statistic. However, due to the unlimited geometric freedom of cluster shapes, … detected by the circular spatial scan statistic. However, due to the unlimited geometric freedom of cluster shapes, … -
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.… that we may use both statistics for disease outbreak de- tection, but for different purposes. Then it is im- … the analysis during October 11 to November 15, both tests did not detect any signals. On Novem- ber 22, both tests … detected by both tests. Their results were similar but de- tected areas were slightly different. On December 20, … -
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.… BACKGROUND As a major analytical method for outbreak de- tection, a software SaTScan of Kulldorff’s space- time … Since it is based on circular windows in space, it cannot de- tect non-circular areas. Takahashi et al. (2008) … -
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.… Takahashi [3] have proposed different scan statistics. All of these tests are based on maximizing the likelihood … [1] Kulldorff M, Nagarwalla N. Spatial disease clusters: de- tection and inference. Statistics in Medicine 1995; … -
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… emergency departments (EDs) in NYC representing 94% of all ED visits (avg daily visits ~10,000). The information … 8 views Submitted by elamb on Tue, 03/26/2019 - 16:22 … daily from 50 of 61 (82%) EDs in NYC representing 94% of all ED visits (avg daily visits ~10,000). The information …