↓ Skip to main content

Reducing sampling error in faecal egg counts from black rhinoceros (Diceros bicornis)

Overview of attention for article published in International Journal for Parasitology: Parasites and Wildlife, October 2013
Altmetric Badge

Readers on

mendeley
47 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Reducing sampling error in faecal egg counts from black rhinoceros (Diceros bicornis)
Published in
International Journal for Parasitology: Parasites and Wildlife, October 2013
DOI 10.1016/j.ijppaw.2013.10.002
Pubmed ID
Authors
Abstract

Faecal egg counts (FECs) are commonly used for the non-invasive assessment of parasite load within hosts. Sources of error, however, have been identified in laboratory techniques and sample storage. Here we focus on sampling error. We test whether a delay in sample collection can affect FECs, and estimate the number of samples needed to reliably assess mean parasite abundance within a host population. Two commonly found parasite eggs in black rhinoceros (Diceros bicornis) dung, strongyle-type nematodes and Anoplocephala gigantea, were used. We find that collection of dung from the centre of faecal boluses up to six hours after defecation does not affect FECs. More than nine samples were needed to greatly improve confidence intervals of the estimated mean parasite abundance within a host population. These results should improve the cost-effectiveness and efficiency of sampling regimes, and support the usefulness of FECs when used for the non-invasive assessment of parasite abundance in black rhinoceros populations.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
India 1 2%
Finland 1 2%
Denmark 1 2%
Unknown 43 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 12 26%
Student > Bachelor 8 17%
Student > Master 5 11%
Professor > Associate Professor 2 4%
Other 5 11%
Unknown 3 6%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 24 51%
Veterinary Science and Veterinary Medicine 5 11%
Environmental Science 5 11%
Biochemistry, Genetics and Molecular Biology 2 4%
Business, Management and Accounting 1 2%
Other 5 11%
Unknown 5 11%