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Permanent link (DOI): https://doi.org/10.7939/R3MS3K27T

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A spatial scan statistic for compound Poisson data Open Access

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Author or creator
Rosychuk, Rhonda J.
Chang, Hsing-Ming
Additional contributors
Subject/Keyword
spatial scan
compound Poisson
cluster detection
surveillance
Type of item
Journal Article (Published)
Language
English
Place
Time
Description
The topic of spatial cluster detection gained attention in statistics during the late 1980s and early 1990s. Effort has been devoted to the development of methods for detecting spatial clustering of cases and events in the biological sciences, astronomy and epidemiology. More recently, research has examined detecting clusters of correlated count data associated with health conditions of individuals. Such a method allows researchers to examine spatial relationships of disease-related events rather than just incident or prevalent cases. We introduce a spatial scan test that identifies clusters of events in a study region. Because an individual case may have multiple (repeated) events, we base the test on a compound Poisson model.We illustrate our method for cluster detection on emergency department visits, where individuals may make multiple disease-related visits.
Date created
2013
DOI
doi:10.7939/R3MS3K27T
License information
Creative Commons Attribution-Non-Commercial-No Derivatives 3.0 Unported
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Citation for previous publication
Rosychuk RJ, Chang HM (2013). A Spatial Scan Statistic for Compound Poisson Data. Statistics in Medicine, 32(29), 5106-5118.
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