Bayesian zero-inflated predictive modelling of herd-level Salmonella prevalence for risk-based surveillance

dc.contributor.author Benschop, J.
dc.contributor.author Spencer, S.
dc.contributor.author Alban, Lis
dc.contributor.author Stevenson, M
dc.contributor.author French, N.
dc.date 2018-08-13T19:24:59.000
dc.date.accessioned 2020-07-02T06:21:41Z
dc.date.available 2020-07-02T06:21:41Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2009
dc.date.issued 2009-01-01
dc.description.abstract <p>The national control programme for Salmonella in Danish swine herds introduced in 1993 has led to a large decrease in pork-associated human cases of salmonellosis. The pork industry is increasingly focussed on the cost-effectiveness of surveillance while maintaining consumer confidence in the pork food supply. Using national control programme data from 2003 and 2004, we veloped a zero-inflated binomial model to predict which fanns were most at risk of Salmonella. We preferentially sampled these high-risk farms using two sampling schemes based on model predictions resulting from a farm's covariate pattern and its random effect.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/safepork/2009/allpapers/47/
dc.identifier.articleid 1856
dc.identifier.contextkey 6206956
dc.identifier.doi https://doi.org/10.31274/safepork-180809-837
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath safepork/2009/allpapers/47
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/83974
dc.language.iso en
dc.relation.ispartofseries International Conference on the Epidemiology and Control of Biological, Chemical and Physical Hazards in Pigs and Pork
dc.source.bitstream archive/lib.dr.iastate.edu/safepork/2009/allpapers/47/2009_BenschopJ_BayesianZeroInflated.pdf|||Sat Jan 15 00:24:39 UTC 2022
dc.subject.disciplines Animal Diseases
dc.subject.disciplines Veterinary Infectious Diseases
dc.subject.disciplines Veterinary Microbiology and Immunobiology
dc.subject.disciplines Veterinary Preventive Medicine, Epidemiology, and Public Health
dc.title Bayesian zero-inflated predictive modelling of herd-level Salmonella prevalence for risk-based surveillance
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isSeriesOfPublication aab46b45-e596-479d-af7f-e072b1599cd7
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