Authors: Genevieve Sullivan, Claire Zoellner, Martin Wiedmann and Renata Ivanek.
Study: Using in silico models for design and optimization of science-based Listeria environmental monitoring programs in fresh-cut produce facilities. Applied and Environmental Microbiology (in press)
In this study, two agent-based models of fresh-cut produce facilities were developed as a way to simulate dynamics of Listeria in the built environment by modeling the different surfaces of equipment and employees in a facility as agents. The components of the model developed in NetLogo and R codes used to analyze the model outputs can be found in the following folders:
-ClusterAnalysis (files from cluster analysis of model predictions)
-NetLogo_A (files used to build an agent-based model of facility A in Netlogo)
-NetLogo_B (files used to build an agent-based model of facility B in Netlogo)
-ScenarioAnalysis (files from scenario analysis of the agent-based models)
-SimulationSensitivityAnalysis (files from sensitivity analysis of the agent-based models)
Note: The agent list and cluster analysis input files have been modified to remove individual equipment descriptions (i.e., all non-employee agents are labeled as "equipment") to protect the confidentiality of participating food facilities.