Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 Dec;137(12):1734-41.
doi: 10.1017/S0950268809002702. Epub 2009 May 6.

Estimation of sample sizes for pooled faecal sampling for detection of Salmonella in pigs

Affiliations

Estimation of sample sizes for pooled faecal sampling for detection of Salmonella in pigs

M E Arnold et al. Epidemiol Infect. 2009 Dec.

Abstract

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, individual and pooled faecal samples were collected from a sample of pens from nine farms. Bayesian methods were used to estimate the sensitivity of individual 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 individual sampling, e.g. with 18 pooled samples required to detect a 10% prevalence with 95% certainty, compared to 35 individual rectal samples. We recommend that pooled sampling is used for detection 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.

PubMed Disclaimer

Publication types