Clustering of equine grass sickness cases in the United Kingdom

A study considering the effect of position-dependent reporting on the space-time K-function

N. P. French, H. E. McCarthy, P. J. Diggle, C. J. Proudman

Research output: Contribution to journalArticle

Abstract

Equine grass sickness (EGS) is a largely fatal, pasture-associated dysautonomia. Although the aetiology of this disease is unknown, there is increasing evidence that Clostridium botulinum type C plays an important role in this condition. The disease is widespread in the United Kingdom, with the highest incidence believed to occur in Scotland. EGS also shows strong seasonal variation (most cases are reported between April and July). Data from histologically confirmed cases of EGS from England and Wales in 1999 and 2000 were collected from UK veterinary diagnostic centres. The data did not represent a complete census of cases, and the proportion of all cases reported to the centres would have varied in space and, independently, in time. We consider the variable reporting of this condition and the appropriateness of the space-time K-function when exploring the spatial-temporal properties of a 'thinned' point process. We conclude that such position-dependent under-reporting of EGS does not invalidate the Monte Carlo test for space-time interaction, and find strong evidence for space-time clustering of EGS cases (P

Original languageEnglish (US)
Pages (from-to)343-348
Number of pages6
JournalEpidemiology and Infection
Volume133
Issue number2
DOIs
StatePublished - Apr 2005
Externally publishedYes

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Poaceae
Horses
Cluster Analysis
Space-Time Clustering
Clostridium botulinum type C
Primary Dysautonomias
Wales
Scotland
Censuses
England
United Kingdom
Incidence

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Immunology

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Clustering of equine grass sickness cases in the United Kingdom : A study considering the effect of position-dependent reporting on the space-time K-function. / French, N. P.; McCarthy, H. E.; Diggle, P. J.; Proudman, C. J.

In: Epidemiology and Infection, Vol. 133, No. 2, 04.2005, p. 343-348.

Research output: Contribution to journalArticle

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