Articles
A PROCESS RISK MODEL FOR CAMPYLOBACTER IN POULTRY
Article number
674_34
Pages
293 – 300
Language
English
Abstract
As elsewhere in Europe, Campylobacter infections cause severe public health problems in the Netherlands.
Poultry meat is considered to be one of the main sources of Campylobacter. Therefore, a process risk model has been developed for the ‘farm to fork’ chain of broiler chicken meat.
The model describes the transmission of Campylobacter through the food chain, using non-linear dynamics for cross-contamination, which frequently occurs during processing and food handling.
This paper is an excerpt of a report recently published on this model and its application for risk assessment and risk management.
It explains the modeling structure and the model dynamics and illustrates the relevance of properly separating different sources of variability, like between broilers from one flock and between flocks. To accurately assess human exposure and the resulting risks in a food chain model, incorporation of such variability is essential.
Combining this with a quantitative analysis of uncertainty is complex.
Nonetheless, the model offers a good tool to support food chain risk management.
Poultry meat is considered to be one of the main sources of Campylobacter. Therefore, a process risk model has been developed for the ‘farm to fork’ chain of broiler chicken meat.
The model describes the transmission of Campylobacter through the food chain, using non-linear dynamics for cross-contamination, which frequently occurs during processing and food handling.
This paper is an excerpt of a report recently published on this model and its application for risk assessment and risk management.
It explains the modeling structure and the model dynamics and illustrates the relevance of properly separating different sources of variability, like between broilers from one flock and between flocks. To accurately assess human exposure and the resulting risks in a food chain model, incorporation of such variability is essential.
Combining this with a quantitative analysis of uncertainty is complex.
Nonetheless, the model offers a good tool to support food chain risk management.
Authors
M.J. Nauta, A.H. Havelaar
Keywords
Microbiological risk assessment, farm-to-fork, chicken processing, Monte Carlo, non-linear dynamics
Online Articles (81)