Purpose: The objective of this study was to develop a user friendly MRA software named KATS (Korean Analytical Tool for Safety).
Methods: To construct the database of KATS, the accuracy of all research reports for prevalence data of foodborne pathogens and predictive models in S. Korea were validated through simulation with @RISK. Data for distribution and storage conditions, cooking conditions, consumption patterns, and dose response models were collected from literatures. These data were then loaded into data base. In addition, Monte Carlo simulation and various probabilistic distributions were loaded in KATS. KATS system was programed with C# language for Windows. The performance of KATS was evaluated by comparing the results from @RISK.
Results: Of validated prevalence of foodborne pathogens and predictive models, about 10% of the data was determined to be loaded in KATS database. KATS system was organized into the flow of exposure assessment (selection of food-foodborne pathogen, initial contamination, distribution and storage conditions, cooking conditions, and consumption pattern), hazard characterization (dose response model), and risk characterization. Simulation results by KATS were in the accordance of 99.99% of @RISK.
Significance: This result indicate that KATS can be used as a user friendly software for MRA, and thus, the time and cost required for MRA can be minimized.