An Empirical Study of the Effect of Sentinel Sample Size in Syndromic Surveillance Using a Space-Time Permutation Method

Description: 

There is limited closed-form statistical theory to indicate how well the prospective space-time permutation scan statistic will perform in the detection of localized excess illness activity. Instead, detection methods can be applied to simulated data to gain insight about detection performance. Such results are dependent on the way outbreaks are simulated and the nature of the background data. As an alternative, we explore an empirical approach in which the membership of a large health plan is used to represent a community and detection performance is assessed in samples from the larger group.

 

Objective

Our goal was to assess the impact of sentinel sample size and criteria for a signal on performance of daily prospective space-time permutation detection by comparing results in varying size random samples from a large health plan to results found in the full membership.

Primary Topic Areas: 
Original Publication Year: 
2007
Event/Publication Date: 
October, 2007

September 20, 2018

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INTERNATIONAL SOCIETY FOR
DISEASE SURVEILLANCE

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Email:syndromic@syndromic.org

This Knowledge Repository is made possible through the activities of the Centers for Disease Control and Prevention Cooperative Agreement/Grant #1 NU500E000098-01, National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide, which is in the interest of public health.

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