%0 Journal Article %1 Ward2000 %A Ward, M. P. %A Carpenter, T. E. %D 2000 %J Preventive Veterinary Medicine %K methods Animals Space-TimeClustering epidemiology/veterinary Queensland Sheep epidemiology/parasitology epidemiology VeterinaryMedicine EctoparasiticInfestations SheepDiseases pointpattern Diptera review Male %N 3-4 %P 257--284 %T Techniques for analysis of disease clustering in space and in time in veterinary epidemiology. %V 45 %X 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.

@article{Ward2000, 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.}, added-at = {2010-01-14T17:52:20.000+0100}, author = {Ward, M. P. and Carpenter, T. E.}, biburl = {https://www.bibsonomy.org/bibtex/2efb4b0ba40b9a97e5ff5b84eae7fd0e2/uvesco}, file = {:Ward2000.pdf:PDF}, institution = {Queensland Department of Primary Industries (DPI), Animal Research Institute, Moorooka, Australia. wardmp@dpi.qld.gov.au}, interhash = {437a70ae376bddf7defb3cb58d4cee24}, intrahash = {efb4b0ba40b9a97e5ff5b84eae7fd0e2}, journal = {Preventive Veterinary Medicine}, keywords = {methods Animals Space-TimeClustering epidemiology/veterinary Queensland Sheep epidemiology/parasitology epidemiology VeterinaryMedicine EctoparasiticInfestations SheepDiseases pointpattern Diptera review Male}, language = {eng}, medline-pst = {ppublish}, month = Jun, number = {3-4}, pages = {257--284}, pii = {S0167-5877(00)00133-1}, pmid = {10821965}, timestamp = {2010-01-14T17:52:20.000+0100}, title = {Techniques for analysis of disease clustering in space and in time in veterinary epidemiology.}, volume = 45, year = 2000 }