Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Hierarchical modelling of faecal egg counts to assess anthelmintic efficacy

Paul, Michaela; Torgerson, Paul R; Högland, Johan; Furrer, Reinhard (2014). Hierarchical modelling of faecal egg counts to assess anthelmintic efficacy. ArXiv.org 1401.2642, Cornell University.

Abstract

Counting the number of parasite eggs in faecal samples is a widely used diagnostic method to evaluate parasite burden. Typically a sub-sample of the diluted faeces is examined for eggs. The resulting egg counts are multiplied by a specific correction factor to estimate the mean parasite burden. To detect anthelmintic resistance, the mean parasite burden from treated and untreated animals are compared. However, this standard method has some limitations. In particular, the analysis of repeated samples may produce quite variable results as the sampling variability due to the counting technique is ignored. We propose a hierarchical model that takes this sampling variability as well as between-animal variation into account. Bayesian inference is done via Markov chain Monte Carlo sampling. The performance of the hierarchical model is illustrated by a re-analysis of faecal egg count data from a Swedish study assessing the anthelmintic resistance of nematode parasite in sheep. A simulation study shows that the hierarchical model provides better classification of anthelmintic resistance compared to the standard method.

Additional indexing

Item Type:Working Paper
Communities & Collections:07 Faculty of Science > Institute of Mathematics
05 Vetsuisse Faculty > Veterinärwissenschaftliches Institut > Chair in Veterinary Epidemiology
07 Faculty of Science > Institute for Computational Science
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
510 Mathematics
Language:English
Date:12 January 2014
Deposited On:03 Feb 2015 16:53
Last Modified:05 Jun 2024 12:15
Series Name:ArXiv.org
Number of Pages:14
ISSN:2331-8422
Funders:SNF, FP7
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.48550/arXiv.1401.2642
Project Information:
  • Funder: FP7
  • Grant ID: 288975
  • Project Title: GLOWORM - Innovative and sustainable strategies to mitigate the impact of global change on helminth infections in ruminants
  • Funder: SNSF
  • Grant ID:
  • Project Title: SNF
  • Funder: FP7
  • Grant ID:
  • Project Title: FP7
Download PDF  'Hierarchical modelling of faecal egg counts to assess anthelmintic efficacy'.
Preview
  • Content: Published Version
  • Language: English

Metadata Export

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

84 downloads since deposited on 03 Feb 2015
13 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications