Quantification of parasite aggregation: a simulation study.
A simulation study is used to examine the statistical behaviour of estimators of parameters of parasite infection in relation to variation in sample size, the degree of parasite aggregation, and mean parasite burden. The most important patterns to emerge are the associations between estimates of parameters and sample size (= number of host individuals). As sample size decreases values of sample mean parasite burden, its associated variance, and the level of parasite aggregation are all systematically underestimated. The geometric mean of parasite burden and the prevalence of infection appear to be independent of associations with other parasite parameters. Estimates of parameter values may also depend on the underlying frequency distribution, but appear insensitive to variation in the population mean parasite burden. Results are discussed in relation to the interpretation of data derived from field-based studies. In particular, establishing the form of the relationship between host age and mean parasite burden and/or the degree of parasite aggregation. It is typical for sample size to decline as a function of host age within cross-sectional field data. This may give rise to artefactual patterns in the shape of age-aggregation curves in which sample sizes are unequal among host age classes.
Gregory
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RD
Department of Zoology, University of Oxford, UK.
Woolhouse
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ME
D000818:Animals; D015982:Bias; D008954:Models, Biological; D010274:Parasitology / Q000706:statistics & numerical data*; D011157:Population Dynamics; D012494:Sampling Studies