Title: 2D-MC risk assessment and advanced sensitivity analysis for Listeria in smoked fish products at consumer's phase, a retrospective approach
Authors: Vasquez Nino, German Andres
Hertog, Maarten
Haberbeck, Leticia Ungaretti
Busschaert, Pieter
Devlieghere, Frank
Uyttendaele, Mieke
Van Impe, Jan
Geeraerd, Annemie #
Issue Date: Sep-2012
Publisher: BSFM
Host Document: Seventeenth conference on food microbiology pages:187
Conference: Conference on food microbiology edition:17 location:Brussels, Belgium date:20-21 September 2012
Abstract: This research aims to design a model and interpret the occurrence of listeriosis in smoked fish products in Belgium between 2008-2009, using 2D Monte Carlo (2D-MC) and sensitivity analysis methods to estimate the most relevant factors of the final risk estimate. Quantitative Microbiological Risk Assessment (QMRA) is a structured methodology used to assess the risk involved by ingestion of the pathogen using specified conditions.
It focuses on the consumers phase of the food chain, and uses specific time/space(local) data for the Belgian case. Different mathematical, statistical and microbiological models and methodologies, combined with an accurate exploitation of local data sets are used.
The main expected output is the risk, which is further assessed through the use of sensitivity analysis techniques to measure the influence of the input variables on it.
Publication status: published
KU Leuven publication type: AMa
Appears in Collections:Division of Mechatronics, Biostatistics and Sensors (MeBioS)
Faculty of Bioscience Engineering
Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section
Technologiecluster ESAT Elektrotechnische Engineering
Electrical Engineering (ESAT) TC, Technology Campus De Nayer Sint-Katelijne-Waver
# (joint) last author

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