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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11358

Title: Quantitative microbial risk assessment: methods and quality assurance
Authors: Boone, I.
Van der Stede, Y.
Mintiens, K.
Daube, G.
Issue Date: 2010
Publisher: UNIV GHENT
Abstract: Quantitative microbial risk assessment (QMRA) is used to estimate the risk level of pathogens along the food chain and to support management decisions for the reduction of food safety risks. The degree of credibility that can be attached to risk assessment results depends largely on the quality and quantity of the data, the model structure and the assumptions made. Quality Assurance (QA) in QMRA is defined as the structure that ensures that all the steps in the risk evaluation process are scientifically based so that the policy questions being posed can be answered. Whereas sensitivity analysis and scenario analysis are generally applied in QMRA, formal methods for the evaluation of data quality, the critical evaluation of assumptions, structured expert elicitation, the checklist approach and peer review are rarely used in QMRA, even though they would improve the transparency of the risk analysis process. An overview of QA methods for QMRA is presented. The degree of implementation of these methods should be proportionate to the stakes of the risk management questions and should be discussed in consultation between the risk assessors and the risk managers.
Notes: [Boone, I.; Van der Stede, Y.; Mintiens, K.] Vet & Agrochem Res Ctr VAR, Coordinat Ctr Vet Diagnost, B-1180 Brussels, Belgium. [Aerts, M.] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Daube, G.] Univ Liege, Fac Vet Med, Dept Food Sci, Microbiol Sect, B-4000 Liege, Belgium. yves.vanderstede@var.fgov.be
URI: http://hdl.handle.net/1942/11358
ISI #: 000283708300004
ISSN: 0303-9021
Category: A1
Type: Journal Contribution
Validation: ecoom, 2011
Appears in Collections: Research publications

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