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Research supporting quantitative risk assessments for complex food borne hazards
Reference
BBS/E/F/00044407
Principal Investigator / Supervisor
Dr Gary Barker
Co-Investigators /
Co-Supervisors
Institution
Quadram Institute Bioscience
Department
Quadram Institute Bioscience Department
Funding type
Research
Value (£)
1,832,884
Status
Current
Type
Institute Project
Start date
01/04/2010
End date
31/03/2018
Duration
95 months
Abstract
Research supporting quantitative risk assessments for complex food borne hazards centres on improved quantification of uncertainties, improved representation of variability, improved understanding of complexities and stronger support for communication and management of food safety information. It concerns the development of strong mathematical descriptions, and improved quantitative understanding, for the hazards and risks that are associated with food consumption. Quantitative microbial risk assessments aim to support decision making leading to improved public health and food security. This project concerns, primarily, food borne botulism and centres on incorporation of additional microscopic variables for germination times, lag time and toxin production kinetics into a hazard domain model. In turn this will lead to additional opportunities for intervention and control. The research employs a model expressed as a well defined partition of the full joint probability and implemented as a Bayesian belief network. The project will address crucial issues relating to the homogeneity of spore populations. The project will also quantify the impact of mobile genetic elements in the development of food borne hazards and will explore optimum strategies for the engagement of stakeholder groups in quantitative risk assessment.
Summary
unavailable
Committee
Not funded via Committee
Research Topics
Microbial Food Safety, Microbiology
Research Priority
X – Research Priority information not available
Research Initiative
X - not in an Initiative
Funding Scheme
X – not Funded via a specific Funding Scheme
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