A farm transmission model for Salmonella in pigs, applicable to EU members states
Hill, Andrew A. and Simmons, Robin R. L. and Kelly, Louise and Snary, Emma L. (2016) A farm transmission model for Salmonella in pigs, applicable to EU members states. Risk Analysis, 36 (3). pp. 461-481. ISSN 1539-6924 (https://doi.org/10.1111/risa.12356)
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Abstract
The burden of Salmonella entering pig slaughterhouses across the European Union (EU) is considered a primary food safety concern. In order to assist EU Member States with the development of National Control Plans, we have developed a farm transmission model applicable to all Member States. It is an individual-based stochastic Susceptible-Infected model, that takes into account four different sources of infection of pigs (sows, feed, external contaminants such as rodents and new stock) and various management practices linked to Salmonella transmission/protection (housing, flooring, feed, All-In-All-Out production). A novel development within the model is the assessment of dynamic shedding rates. The results of the model, parameterized for two case study Member States (one high and one low prevalence) suggest that breeding herd prevalence is a strong indicator of slaughter pig prevalence. Until a Member States’ breeding herd prevalence is brought below 10% then the sow will be the dominant source of infection to pigs raised for meat production; below this level of breeding herd prevalence, feed becomes the dominant force of infection.
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Item type: Article ID code: 53278 Dates: DateEvent1 March 2016Published25 February 2015Published Online27 December 2014AcceptedNotes: This is the peer reviewed version of the following article: Hill, A. A., Simons, R. R. L., Kelly, L. and Snary, E. L. (2016), A Farm Transmission Model for Salmonella in Pigs, Applicable to E.U. Member States. Risk Analysis. doi: 10.1111/risa.12356, which has been published in final form at http://doi.org/10.1111/risa.12356. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving. Subjects: Science > Physiology
Agriculture > Animal cultureDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 04 Jun 2015 22:36 Last modified: 08 Aug 2024 01:17 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/53278