1、Matt Stasiewicz,PhDYiyi Li,MPHUniversity of Illinois at Urbana-Champaignmstasieillinois.eduDATA ANALYSIS FOR FOOD SAFETY PROFESSIONALS:MODELING,RISK ASSESSMENT,AND ANALYTICS TOOLS FOR FSQAFood Safety Summit3-5 pm5/13/2025Rosemont,ILhttps:/go.illinois.edu/FoodSafetyToolsBrief Entry Survey https:/go.i
2、llinois.edu/ToolsEntrySurOverall Takeaways Academics and Industry Associations created many tools for analyzing common food safety and quality problems Mature tools(from 1990-2000s)are typically spreadsheet calculators,requiring users to change assumptions in cells Modern tools(from 2010s on)are typ
3、ically written in programming languages(usually R)often with web apps(Shinny)Modern tools can do more,but often require more user input data or statistical assumptions ALL tools require food safety context knowledge to make appropriate assumptions and interpret results Think of these as better calcu
4、lators for processes you understand,not magic boxes that will give you answers Experimental Work Test the effect for one condition Mathematical Generalization Analyze the effect to learn how it works Broad Solution Use the effect in different,similar situations Data analysis tools are for broad solu
5、tionsHow much X do I need to achieve Y?Broad Framing General Case Experimental Work Measure cell survival after applying heat for different amount of time Mathematical Generalization Draw a line through the data Use the line to predict lethality for a given time and temperature Broad Solution Use pa
6、rameters for this line(D-values)to predict lethality for different temperatures(Z-value)when you know enough about the pathogen and conditions for them to be relevant(D and Z for a given pathogen-food combination)How much heat do I need to eliminate a pathogen?Broad Framing Thermal LethalityFor broa