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Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 353565
Title Stochastic modelling of Salmonella monitoring in finishing pigs
Author(s) Vos, C.J. de; Saatkamp, H.W.; Ehlers, J.
Event ISVEE11, Cairns, 2006-08-06/2006-08-11
Department(s) Business Economics
Publication type Contribution in proceedings
Publication year 2006
Abstract Results of serological monitoring for Salmonella in finishing pigs are used to classify herds and target control measures at herds with high prevalence. The outcome of monitoring depends on three factors: (a) the optical density percentage (OD%) used to declare a sample positive, (b) the herd classification scheme, and (c) the number of samples. The goal of this study was to analyse the impact of these three factors on the reliability and cost of Salmonella monitoring in finishing pigs. A stochastic simulation model was constructed to evaluate 12 monitoring scenarios based on: (a) four cut-off values for the OD% and (b) three herd classification schemes. Furthermore, eight different sampling schemes were evaluated. The main outputs of the model are (a) the percentage of herds changing classification as a reliability criterion and (b) the total number of samples taken as a cost criterion. Results indicated that monitoring scenarios based on cut-off OD% 10 are most reliable. Moreover, inclusion of a zero-prevalence class decreased the reliability of monitoring. The economically optimal sampling scheme depended on the monitoring scenario used.
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