title: Techniques for analysis of disease clustering in space and in time in veterinary epidemiology.
abstract: Techniques to describe and investigate clustering of disease in space - the nearest-neighbour test, autocorrelation, Cuzick-and-Edwards' test and the spatial scan statistic - and in time - the Ederer-Myers-Mantel test and the temporal scan statistic - 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 - both body strike and breech strike - 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.
authors.affiliation: Queensland Department of Primary Industries (DPI), Animal Research Institute, Moorooka, Australia. wardmp@dpi.qld.gov.au
authors.forename: M P
authors.initials: MP
authors.lastname: Ward
authors.forename: T E
authors.initials: TE
authors.lastname: Carpenter
mesh_terms: D000818:Animals; D004175:Diptera; D004478:Ectoparasitic Infestations / Q000453:epidemiology / Q000662:veterinary*; D008297:Male; D011793:Queensland / Q000453:epidemiology; D012756:Sheep; D012757:Sheep Diseases / Q000453:epidemiology* / Q000469:parasitology; D013029:Space-Time Clustering; D014730:Veterinary Medicine / Q000379:methods