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Related Experiment Videos

Modelling the spatial distribution of Echinococcus multilocularis infection in foxes.

D R J Pleydell1, F Raoul, F Tourneux

  • 1Centre for Environmental Systems Research, Research Institute for the Built and Human Environment, School of Environment and Life Sciences, University of Salford, Manchester M5 4WT, UK. d.r.j.pleydell@pgr.salford.ac.uk

Acta Tropica
|July 13, 2004
PubMed
Summary
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Alveolar echinococcosis surveillance in foxes can be improved by analyzing E. multilocularis antigen levels in their feces. Grassland availability in the landscape is a key factor in predicting infection trends.

Area of Science:

  • Veterinary Parasitology
  • Wildlife Epidemiology
  • Spatial Analysis

Background:

  • Alveolar echinococcosis, caused by Echinococcus multilocularis, is a fatal human disease.
  • Increased fox populations due to rabies control correlate with higher E. multilocularis prevalence.
  • Monitoring fox infection status is crucial for assessing human risk.

Purpose of the Study:

  • To develop a pragmatic methodology for epidemiological surveillance of E. multilocularis in foxes.
  • To analyze spatial trends of E. multilocularis antigen levels in fox feces.
  • To model infection trends based on landscape features.

Main Methods:

  • Spatial analysis of E. multilocularis antigen levels in fox feces from Franche-Comté, France.
  • Kriging models incorporating grassland composition as a trend term.

Related Experiment Videos

  • Comparison of various trend models using leave-one-out cross-validation.
  • Main Results:

    • Kriging models with a grassland trend term showed significantly lower estimation errors.
    • The strongest relationship between observed and predicted antigen levels occurred when autocorrelation range matched fox home range size.
    • Regional infection trends are effectively modeled by intermediate host habitat availability.

    Conclusions:

    • Fox fecal antigen detection is a viable method for wildlife surveillance of E. multilocularis.
    • Grassland availability is a significant predictor of spatial trends in fox E. multilocularis infection.
    • Fox over-dispersion and habitat availability drive local and regional infection patterns, respectively.