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The need for health risk analysis skills continues to increase as the COVID-19 pandemic still dominates every aspect of our lives. This online course provides an introduction to risk analysis and quantitative risk modeling for food safety and animal health, which are also applicable to a variety of health risk analysis problems such as the analysis and optimization of COVID testing and vaccination strategies. Exercises and problems will demonstrate core risk analysis functionality and applied food safety and animal health models in R, an open-source statistical programming platform. The class combines live sessions delivered by experienced, PhD-level instructors with self-paced lectures and practical problems to solve. Each topic will include a mixture of lectures, supporting reading material, demonstration of software implementation, and practice problems to solve. EpiX Analytics is an international leader in risk analysis and its instructors provide real-life context to theory based on decades of consulting and research experience in the fields of animal health, food safety, and health risk analysis. Case studies based on a variety of previous projects will be presented and discussed to illustrate the combination of various concepts introduced in the course. The class is divided into two modules: Module I is an optional introduction to R. It is designed for participants who have never used R, or for beginner R users. Module II contains the core material for the class. Users with reasonable familiarity using R can decide to register to this module only.
This course is suitable to anyone interested in the foundational concepts of quantitative risk analysis in health. Although the course content and exercises focus on animal health and food safety, the course material is applicable to risk analysis problems of all types. For example, the course content covering the use of diagnostic tests to establish disease freedom and understand individual risks is directly applicable to modeling COVID-19 testing and surveillance strategies in occupational settings.