A model for setting performance objectives for Salmonella in the broiler supply chain

Area of Science:

• Food safety
• Veterinary epidemiology
• Mathematical modeling

Background:

• Salmonella contamination poses a significant risk in broiler production.
• Effective control requires setting clear performance objectives throughout the supply chain.
• Previous models may not adequately capture transmission dynamics.

Purpose of the Study:

• To develop a stochastic model for setting Salmonella performance objectives in the broiler supply chain.
• To enable determination of objectives at various production points based on a final processing line objective.
• To inform interventions for reducing Salmonella prevalence.

Main Methods:

• Modeled Salmonella transmission dynamics within the broiler production chain.
• Calculated flock-level prevalence from sample-level prevalence data.
• Utilized multi-year Salmonella occurrence data from the Dutch broiler production chain.

Main Results:

• The developed stochastic model provides a framework for setting Salmonella performance objectives.
• The model allows for the calculation of prevalence at different stages of broiler production.
• It facilitates the identification of critical control points for Salmonella intervention.

Conclusions:

• The model is a valuable tool for policymakers and industry stakeholders.
• It supports the establishment of economically and politically viable performance objectives.
• The model aids in selecting the most appropriate interventions to control Salmonella.