Skip to main content

Displaying results 1 - 4 of 4
  • 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
    … departments (EDs) in NYC representing 94% of all ED visits (avg daily visits ~10,000). The information collected includes the date and time of visit, age, sex, home zip code and chief complaint of each … The information collected includes the date and time of visit, age, sex, home zip code and chief complaint of each …
  • 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
    … are aimed at detecting irregularly shaped clusters which may not be detected by the circular spatial scan statistic. … - 08:40 … Advances in Disease Surveillance 2007;2:70 … A time periodic geographic disease surveillance system … are aimed at detecting irregularly shaped clusters which may not be detected by the circular spatial scan statistic. …
  • 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.
    … in irregularly shaped areas. They have suggested that we may use both statistics for disease outbreak de- tection, …
  • 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.
    … included therein. The window Z∗ which attains the maxi- mum T is defined as the most likely cluster (MLC). In the … for the detection of arbitrarily shaped spatial clusters. Com- putational Statistics & Data Analysis 2004; 45:269—286. …