Workshop :: Population Health Analytics
Food, Nutrition & Chemical


Wednesday, October 4 • 2:00pm - 5:30pm

Intended Audience:

Interested in data analytics and software for food safety, nutrition, chemical risk assessment and human health

Knowledge Level:

No prerequisites. It is helpful to have a scientific background or an interest in science and to be familiar with MS Excel or similar data manipulation tools.

Workshop Facilitators:

Cian O'Mahony, Head of Expert Modelling & Statistics at Creme Global. Sandrine Pigat, Head of Food & Nutrition at Creme Global.

What you will learn:

You will get a comprehensive introduction to everything you need to know about major determinants of population nutrition, food and chemical safety including: food and nutritional intakes, predictive microbiology, cosmetic safety and chemicals exposure, using cutting edge data and predictive intake modelling tools.

Cian and Sandrine will present data sets, tools and techniques that can be used to determine what population intakes of different foods, chemicals and nutrients are. Answer key questions like what foods and products are driving intake, what is the difference between various demographics, and what consumers are reaching their recommended intakes and who are exceeding it?

Learn how to predict impact of future scenarios. What happens if I bring a new product to market? What if I reformulate an existing product? What consumers will be impacted? How will this impact their nutritional intakes? How will it impact consumer safety? Are different cosmetic products combining to adversely affect consumer risk? Can I predict the shelf life of a food formulation before it is even developed? What statistics can I use to best describe all of these situations?

Learn the answers to these key questions and more in a fun, interactive and practical workshop with two of Creme Global's most experienced practitioners.

Course Outline:

1. Hazard, Exposure and Risk

  1. How do we quantify each
  2. Risk = Hazard x Exposure
  3. How safe exposure and recommended intake levels are set
  4. Basic consumer exposure assessment

2. Modelling Consumer Exposure (Refined Models)

  1. Data sets
  2. Mathematical methods
  3. Predictive Intake Models
  4. Tools and computing

3. Refined Consumer Exposure Assessment - Examples

  1. Food Safety
    1. Pesticides, Additives, Flavourings, Contaminants
    2. Food Packaging Compounds - FACET
    3. Microbial Contaminants
  2. Personal Care Products
    1. Constituents & Ingredients
  3. Total Aggregate Exposure
    1. Exposure to a constituent, contaminant or ingredient from all sources.

4. Nutritional Intake Modelling

  1. Profiling populations for nutritional status
  2. Scenario analyses
  3. Reformulation scenarios
  4. Portion size models and scenarios
  5. Assessing Health Impact
    1. From intakes and exposure to health metrics
    2. Quality Adjusted Life Years (QALY)
    3. Disability Adjusted Life Years (DALY)
    4. Link to Health Economics (basic)

5. Assessing Populations and Sub-Groups

  1. Representative samples
  2. Assessing Sub-populations
  3. Groups by Gender, Age, Location, Socio-economic factors, etc.

6. Microbial Modelling for Food and Product Safety

  1. Microbial stability modelling
  2. Pathogen microbial growth modelling
  3. Shelf life modelling
  4. Microbial food safety models

* The Workshop will be interactive, so some topics may be covered in more detail (and others in less) based on the requests of attendees on the day.


The Tower, Trinity Technology & Enterprise Campus, Grand Canal Quay, Dublin 2


Click here for pricing information