Techniques for analysis of disease clustering in space and in time in veterinary epidemiology
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Date
2000-02
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Publisher
Elsevier Ltd
Abstract
Techniques to describe and investigate clustering of disease in space Ð the nearest-neighbour
test, autocorrelation, Cuzick-and-Edwards' test and the spatial scan statistic Ð and in time Ð the
Ederer±Myers±Mantel test and the temporal scan statistic Ð are reviewed. The application of these
techniques in veterinary epidemiology is demonstrated by the analysis of a data set describing the
occurrence of blowfly strike Ð both body strike and breech strike Ð between August 1998 and
May 1999 in 33 commercial sheep flocks located within two local government areas of southeastern
Queensland, Australia. By applying a combination of these methods, the occurrence of blowfly
strike in the study area is well-characterised in both space and time. Guidelines for investigating
disease clusters in veterinary epidemiology are discussed. # 2000 Elsevier Science B.V. All rights
reserved.
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Keywords
Clustering, Space, Time, Nearest-neighbour, Autocorrelation, Cuzick-and-Edwards' test, Scan statistic, Ederer±Myers±Mantel test