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

Ward, Michael P; Carpenter, Tim E.

dc.creator	Ward, Michael P
dc.creator	Carpenter, Tim E.
dc.date	2022-05-17T10:09:02Z
dc.date	2022-05-17T10:09:02Z
dc.date	2000-02
dc.date.accessioned	2022-10-25T08:53:40Z
dc.date.available	2022-10-25T08:53:40Z
dc.identifier	https://www.suaire.sua.ac.tz/handle/123456789/4144
dc.identifier.uri	http://hdl.handle.net/123456789/94008
dc.description	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.
dc.format	application/pdf
dc.language	en
dc.publisher	Elsevier Ltd
dc.subject	Clustering
dc.subject	Space
dc.subject	Time
dc.subject	Nearest-neighbour
dc.subject	Autocorrelation
dc.subject	Cuzick-and-Edwards' test
dc.subject	Scan statistic
dc.subject	Ederer±Myers±Mantel test
dc.title	Techniques for analysis of disease clustering in space and in time in veterinary epidemiology
dc.type	Article