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

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dc.contributor.authorWard, Michael P
dc.contributor.authorCarpenter, Tim E.
dc.date.accessioned2022-05-17T10:09:02Z
dc.date.available2022-05-17T10:09:02Z
dc.date.issued2000-02
dc.description.abstractTechniques 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.en_US
dc.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/4144
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectClusteringen_US
dc.subjectSpaceen_US
dc.subjectTimeen_US
dc.subjectNearest-neighbouren_US
dc.subjectAutocorrelationen_US
dc.subjectCuzick-and-Edwards' testen_US
dc.subjectScan statisticen_US
dc.subjectEderer±Myers±Mantel testen_US
dc.titleTechniques for analysis of disease clustering in space and in time in veterinary epidemiologyen_US
dc.typeArticleen_US
dc.urlwww.elsevier.nl/locate/prevetmeten_US

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