Techniques for analysis of disease clustering in space and in time in veterinary epidemiology

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dc.creatorWard, Michael P
dc.creatorCarpenter, Tim E.
dc.date2022-05-17T10:09:02Z
dc.date2022-05-17T10:09:02Z
dc.date2000-02
dc.date.accessioned2022-10-25T08:53:40Z
dc.date.available2022-10-25T08:53:40Z
dc.descriptionTechniques 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.
dc.formatapplication/pdf
dc.identifierhttps://www.suaire.sua.ac.tz/handle/123456789/4144
dc.identifier.urihttp://hdl.handle.net/123456789/94008
dc.languageen
dc.publisherElsevier Ltd
dc.subjectClustering
dc.subjectSpace
dc.subjectTime
dc.subjectNearest-neighbour
dc.subjectAutocorrelation
dc.subjectCuzick-and-Edwards' test
dc.subjectScan statistic
dc.subjectEderer±Myers±Mantel test
dc.titleTechniques for analysis of disease clustering in space and in time in veterinary epidemiology
dc.typeArticle

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