You are not currently logged in.
Access your personal account or get JSTOR access through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Estimation of Sample Sizes for Pooled Faecal Sampling for Detection of "Salmonella" in Pigs
M. E. Arnold and A. J. C. Cook
Epidemiology and Infection
Vol. 137, No. 12 (Dec., 2009), pp. 1734-1741
Published by: Cambridge University Press
Stable URL: http://www.jstor.org/stable/40390508
Page Count: 8
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
Salmonella infection in breeding pigs was the subject of a European survey in 2008. The prevalence of pig-breeding holdings infected with Salmonella was determined by microbiological culture of pooled pen faecal samples. The objective of this study was to estimate the sensitivity of pooled faecal sampling and to calculate the required sample sizes. To do this, individuai and pooled faecal samples were collected from a sample of pens from nine farms. Bayesian methods were used to estimate the sensitivity of individuai and pooled faecal sampling, and the degree of clustering of Salmonella at the pen level. Sample sizes were then calculated for various values of design prevalence, taking into account the clustering. Pooling was highly efficient compared to individuai sampling, e. g. with 18 pooled samples required to detect a 10% prevalence with 95% certainty, compared to 35 individuai rectal samples. We recommend that pooled sampling is used for détection of Salmonella in pigs. Results were influenced by the degree of clustering at pen level, and it is important to take this into account both in the estimation of appropriate sample sizes and the estimation of prevalence from pooled sample data.
Epidemiology and Infection © 2009 Cambridge University Press