Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-23657
Heinzmann, D; Barbour, A D; Torgerson, P R (2009). Compound processes as models for clumped parasite data. Mathematical Biosciences, 222(1):27-35.
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Compound processes are proposed as models for the acquisition of hydatid cysts in sheep, caused by the parasite Echinococcus granulosus. The hypothesis of a clumped infection process against single ingestions is tested and it is shown that the clump-based approach provides a more accurate description of the two data sets investigated. Models with simple and mixed Poisson incidence processes and different clump size distributions are compared. A mixed Poisson incidence process with a zero-truncated negative binomial distribution for the clump sizes is shown to give an adequate description, suggesting that the acquisition of hydatid cysts in the sheep population is heterogeneous, and that the clump sizes are aggregated. The estimates of the parameters derived from the data take plausible values. The average infection rate and the clump size distribution are comparable in both data sets. Goodness-of-fit measures indicate that the model fits the data reasonably well.
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|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||05 Vetsuisse Faculty > Institute of Parasitology
04 Faculty of Medicine > Institute of Parasitology
07 Faculty of Science > Institute of Mathematics
|Dewey Decimal Classification:||570 Life sciences; biology
610 Medicine & health
|Deposited On:||04 Nov 2009 08:03|
|Last Modified:||05 Apr 2016 13:31|
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