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An educationally inspired illustration of two-dimensional Quantitative Microbiological Risk Assessment (QMRA) and
G A Vásquez1, P Busschaert2, L U Haberbeck1
1Division of Mechatronics, Biostatistics and Sensors (MeBioS), Department of Biosystems, KU Leuven, Willem de Croylaan 42, B-3001 Leuven, Belgium.
International Journal of Food Microbiology
|September 1, 2014
Summary
Quantitative Microbiological Risk Assessment (QMRA) models foodborne pathogen risks. This study details QMRA assumptions and uses sensitivity analysis for listeriosis risk in smoked fish, identifying key variability factors.
Area of Science:
- Food safety microbiology
- Quantitative risk assessment
- Mathematical modeling
Background:
- Quantitative Microbiological Risk Assessment (QMRA) applies mathematical models to estimate pathogen ingestion risks.
- Detailed QMRA assumptions and truncations are crucial for reliable simulations but often lack clear presentation.
- Listeriosis from smoked fish is a significant public health concern.
Purpose of the Study:
- To detail background information, assumptions, and truncations in two-dimensional QMRA.
- To perform advanced sensitivity analysis on QMRA simulations.
- To assess listeriosis risk in Belgian smoked fish (2008-2009) and identify key risk factors.
Main Methods:
- Two-dimensional Monte Carlo simulations for risk estimation.
- Spearman correlation and Sobol sensitivity indices for advanced sensitivity analysis.
- Case study: Listeria monocytogenes in smoked fish, Belgium (2008-2009).
Main Results:
- A risk estimate of 0.018% per consumption for immunocompromised individuals.
- Estimated 23 listeriosis cases, aligning with reported figures.
- Key variability factors: consumer refrigerator temperatures, L. monocytogenes growth rates, and portion size.
Conclusions:
- Highlights the importance of transparent QMRA assumptions and sensitivity analysis.
- Identified critical data gaps for L. monocytogenes growth parameters.
- Proposed a baseline workflow for QMRA and sensitivity analysis in food safety.
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