Spatial disease clusters: detection and inference.

Abstract:

:We present a new method of detection and inference for spatial clusters of a disease. To avoid ad hoc procedures to test for clustering, we have a clearly defined alternative hypothesis and our test statistic is based on the likelihood ratio. The proposed test can detect clusters of any size, located anywhere in the study region. It is not restricted to clusters that conform to predefined administrative or political borders. The test can be used for spatially aggregated data as well as when exact geographic co-ordinates are known for each individual. We illustrate the method on a data set describing the occurrence of leukaemia in Upstate New York.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Kulldorff M,Nagarwalla N

doi

10.1002/sim.4780140809

subject

Has Abstract

pub_date

1995-04-30 00:00:00

pages

799-810

issue

8

eissn

0277-6715

issn

1097-0258

journal_volume

14

pub_type

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