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Simulation models

Develop and validate simulation models for (i) packing houses, (ii) processing plants and (iii) retailers to facilitate use of in silico tools to optimize pathogen sampling plans and control strategies.

The goal is to develop agent-based model (ABM) of Listeria transmission in packing houses and produce processing plant and use the model outputs to design, implement, and evaluate improved control strategies in selected facilities. These will be valuable tools for the industry to justify sampling plans and corrective action responses to Listeria detection. 

Examples of previous work that illustrates these approaches  and their value include:

Zoellner, C., R. Jennings, M. Wiedmann, and R. Ivanek. 2019. EnABLe: An agent-based model to understand Listeria dynamics in food processing facilities. Sci Rep. 9(1):495. doi: 10.1038/s41598-018-36654-z.