Research on health and healthcare impacts of dietary risk factors and nutrition policies.
The Nutritional Epidemiology for Population Health (NEPoH) Laboratory is located in the Nutritional Epidemiology and Big Data Analytics (NEBA) laboratory at the Faculty of Land and Food Systems of the University of British Columbia. NEBA develops and validates evidence-based population-level and policy tools for informing national nutrition policies and guidelines, with the goal of reducing the diet-related burden of noncommunicable diseases and associated healthcare use.
NEBA focuses on population modeling of the impact of lifestyle patterns on health and healthcare systems burden, predictive modelling, population health impact assessment of public health nutrition policies, nutritional monitoring and surveillance, development of robust methods for addressing the challenges in assessment and analysis of complex data, and design and implementation of personalized risk assessment tools. Analyses of food supply data for informing nutrition policies are another focus of the NEBA Laboratory.
- Estimation of burden of disease attributable to different dietary patterns (e.g., plant-based eating, dietary guidelines)
- Child health: nutrition assessment and monitoring
- Impact assessment of nutrition policies (such as marketing to children restrictions and front-of-package labelling) on health and healthcare outcomes
- Use of artificial intelligence and machine learning techniques for deriving patterns in food and health data
- Develop novel knowledge translation and exchange tools (web-based application development and evaluation) [Project Big Life]
- Agriculture, animal science and food
- Healthcare and social services
- Policy and governance
Specialized labs and equipment
Equipment | Function |
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High-performance computing (HPC) workstations | Secured workstations with high-power desktops for complex mathematical and simulation modelling. |
Research meeting room | Collaborative space for meetings and presentations. |
Private and public sector research partners
- Statistics Canada
- Ministry of Health (British Columbia)
- Public Health Ontario
- City of Vancouver
- University of Ottawa
- University of Toronto
Additional information
Title | URL |
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Project Big Life: Health calculators for a big life powered by big data (Dietary Pattern Calculator) | https://www.projectbiglife.ca/calculators/dietary-pattern |