Application of a transmission model to estimate performance objectives for Salmonella in the broiler supply chain.
The aim of the present study was to demonstrate how Performance Objectives (POs) for Salmonella at various points in the broiler supply chain can be estimated, starting from pre-set levels of the PO in finished products. The estimations were performed using an analytical transmission model, based on prevalence data collected throughout the chain in The Netherlands. In the baseline (current) situation, the end PO was set at 2.5% of the finished products (at end of processing) being contaminated with Salmonella. Scenario analyses were performed by reducing this baseline end PO to 1.5% and 0.5%. The results showed the end PO could be reduced by spreading the POs over the various stages of the broiler supply chain. Sensitivity analyses were performed by changing the values of the model parameters. Results indicated that, in general, decreasing Salmonella contamination between points in the chain is more effective in reducing the baseline PO than increasing the reduction of the pathogen, implying contamination should be prevented rather than treated. Application of both approaches at the same time showed to be most effective in reducing the end PO, especially at the abattoir and during processing. The modelling approach of this study proved to be useful to estimate the implications for preceding stages of the chain by setting a PO at the end of the chain as well as to evaluate the effectiveness of potential interventions in reducing the end PO. The model estimations may support policy-makers in their decision-making process with regard to microbiological food safety.
van der Fels-Klerx
H J
HJ
RIKILT - Institute of Food Safety, Wageningen University and Research Centre, PO Box 230, NL-6700 AE Wageningen, The Netherlands. ine.vanderfels@wur.nl
Tromp
S
S
Rijgersberg
H
H
van Asselt
E D
ED
D000003:Abattoirs / Q000592:standards; D000818:Animals; D002645:Chickens / Q000382:microbiology*; D015169:Colony Count, Microbial; D003257:Consumer Product Safety; D005506:Food Contamination / Q000032:analysis*; D005511:Food Handling / Q000379:methods / Q000592:standards; D005525:Food-Processing Industry / Q000592:standards*; D006801:Humans; D008460:Meat / Q000382:microbiology*; D008954:Models, Biological; D011237:Predictive Value of Tests; D015995:Prevalence; D012475:Salmonella / Q000254:growth & development* / Q000302:isolation & purification; D012478:Salmonella Food Poisoning / Q000453:epidemiology* / Q000209:etiology / Q000517:prevention & control; D012481:Salmonella Infections, Animal / Q000453:epidemiology / Q000635:transmission; D013269:Stochastic Processes; D015047:Zoonoses