Simulation model for Campylobacter cross-contamination during poultry processing at slaughterhouses.

Area of Science:

• Food Safety
• Microbiology
• Quantitative Risk Assessment

Background:

• Broiler meat is a primary source of Campylobacter infections in humans.
• Effective risk management strategies are needed to minimize Campylobacter contamination in poultry.
• The poultry processing stage is critical for predicting contamination levels and control measure efficacy.

Purpose of the Study:

• To develop an individual-based simulation model for Campylobacter cross-contamination during poultry processing.
• To analyze the impact of processing on Campylobacter prevalence and load at the individual carcass level.

Main Methods:

• An individual-based simulation model was created to track Campylobacter contamination on individual broiler carcasses.
• The model simulated cross-contamination dynamics throughout the poultry processing stages.
• Changes in carcass prevalence and Campylobacter counts were evaluated post-processing.

Main Results:

• Post-processing Campylobacter prevalence and numbers are highly dependent on pre-processing contamination levels.
• While median Campylobacter counts decreased, the distribution widened, with elevated upper limits of the 95% credible interval.
• The baseline model (4.7 log₁₀ cfu/carcass) indicated reduced prevalence post-processing compared to pre-processing.

Conclusions:

• Individual-based simulation models offer detailed insights into discrete interactions during cross-contamination.
• This approach is valuable for understanding and managing Campylobacter spread among carcasses during poultry processing.
• The model highlights the importance of initial contamination levels in determining final broiler meat safety.