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

Michael P. Ward, Tim Carpenter

Research output: Contribution to journalArticlepeer-review

97 Scopus citations


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. (C) 2000 Elsevier Science B.V.

Original languageEnglish (US)
Pages (from-to)257-284
Number of pages28
JournalPreventive Veterinary Medicine
Issue number3-4
StatePublished - Jun 12 2000


  • Autocorrelation
  • Clustering
  • Cuzick-and-Edwards' test
  • Ederer-Myers-Mantel test
  • Nearest-neighbour
  • Scan statistic
  • Space
  • Time

ASJC Scopus subject areas

  • Food Animals
  • Animal Science and Zoology


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