Modeling Food Safety and Animal Health Risks Using R - (Online)
Duration: 24 hours over a three-week period (or 16 hours over a two-week period if not taking the 'Introduction to R' module)
Dates: September 13 to October 1, 2021 (Online)
Time per day: 2-3 hours
Capacity: Minimum of 10 and max of 35 attendees
Cost: Full class: US$2,000, module II only: US$1,590
Requirements to receive a certificate of completion: Attendance to live lectures (or viewing of live lecture recordings), review of all core course materials
UPDATED! Based on the feedback from the previous participants, we have added a series of improvements:
- An additional, week-long introduction to R module tailored specifically for this class
- Additional availability to one-on-one office hours
- Ability to take modules non-sequentially, for users who might already be familiar with concepts from some of the modules
- More opportunities to put the gained knowledge in an applied context via case studies with detailed step-by-step explanations and code describing how to perform a risk assessment
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.
Who should attend
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.
- Module I: Taught over one week period, with only asynchronous lectures to allow students to learn at their own pace using the course’s online resources and access to one-on-one office hours.
- Module II: Taught over a two-week period, with seven live lectures lasting one hour, and over 40 asynchronous lectures 5-15 minutes in length.
- Time per day: 2-3 hours
- Requirements to receive a certificate of completion: Attendance at live lectures (or viewing of live lectures recordings) and review of all core course materials
- Software required:
- R (freeware available at https://cran.r-project.org/) and RStudio (freeware at https://rstudio.com/products/rstudio/download/)
- A modern internet browser compatible with Atlassian Confluence and Microsoft Teams (if not using Teams’ desktop application). We recommend Google Chrome or Microsoft Edge RS2 or newer. Safari is not fully compatible with Teams online.
- Course participants will have access to all course materials during the class, and also four weeks after ending the class. For module II, the six live sessions below will also be recorded for asynchronous viewing, and will be held 8-9am US Mountain Daylight Time (UTC/GMT - 6 hours) on the following days:
- Monday, September 20: Introduction to the course and instructors, plus a motivating case study
- Wednesday, September 22: Introduction to risk analysis, statistical foundations, simulation in R
- Friday, September 24: The Binomial Process / Aggregate models
- Tuesday, September 28: The Poisson Processes / Aggregate models
- Wednesday, September 29: Modeling parameter uncertainty
- Friday, October 1: Course wrap-up and optional material
- Office hours: participants are encouraged to schedule one to one office hours with our class instructors
- Module I: Introduction to R for risk modeling
- The R console, R studio, and other interfaces
- Basic R syntax, summary statistics
- Essential plots and data visualization
- Data objects and their manipulation
- Control flow, loops, logical statements
- Vectorized calculations
- Using packages
- Module II: Modeling Food Safety and Animal Health Risks Using R
- Introduction to Risk Analysis
- Fundamentals of Statistics for Risk Analysis: probabilities, visualization, most useful probability distributions
- Communicating Results of a Risk Analysis: plots, statistics, sensitivity analysis
- Risk Analysis in R: probability calculations and efficient simulation, outputs
- Stochastic Processes: Binomial, Poisson, aggregate modeling
- Fitting Distributions: sourcing data, assessing fit
- Using Expert Opinion: modeling techniques (optional)
- Correlations: copulas and more (optional)
- Modeling parameter uncertainty: classical, bootstrap and Bayesian methods (optional)
- Dose Response Modeling: chemical and microbial (optional)
- Real-life case studies, including a step-by-step instructional on performing a quantitative risk assessment
If you register and pay 30 days before the course start date, an early registration discount of 5% is applied automatically at checkout.
Please contact us to obtain a code for the discounts below. Please note that discount rates cannot be combined.
|* Government/Academic - 5% off registration (Proof of eligibility requested after registration)|
|* Student - 15% off registration (Proof of eligibility requested after registration)|
|* Groups of 3 or more people - please contact us for a special discount|
Use our contact form if you have any questions, or if you are interested in a course not currently in our schedule.
|Start Date||September 13, 2021|
|End Date||October 01, 2021|
|Cut off date||September 20, 2021|
|Cost||$2,000 for full class, US$1,590 for module II only|