Analysis of aggregation, a worked example: numbers of ticks on red grouse chicks.

Abstract:

:The statistical aggregation of parasites among hosts is often described empirically by the negative binomial (Poisson-gamma) distribution. Alternatively, the Poisson-lognormal model can be used. This has the advantage that it can be fitted as a generalized linear mixed model, thereby quantifying the sources of aggregation in terms of both fixed and random effects. We give a worked example, assigning aggregation in the distribution of sheep ticks Ixodes ricinus on red grouse Lagopus lagopus scoticus chicks to temporal (year), spatial (altitude and location), brood and individual effects. Apparent aggregation among random individuals in random broods fell 8-fold when spatial and temporal effects had been accounted for.

journal_name

Parasitology

journal_title

Parasitology

authors

Elston DA,Moss R,Boulinier T,Arrowsmith C,Lambin X

doi

10.1017/s0031182001007740

subject

Has Abstract

pub_date

2001-05-01 00:00:00

pages

563-9

issue

Pt 5

eissn

0031-1820

issn

1469-8161

journal_volume

122

pub_type

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