Literature DB >> 20738819

The impact of consumer phase models in microbial risk analysis.

Maarten Nauta1, Bjarke Christensen.   

Abstract

In quantitative microbiological risk assessment (QMRA), the consumer phase model (CPM) describes the part of the food chain between purchase of the food product at retail and exposure. Construction of a CPM is complicated by the large variation in consumer food handling practices and a limited availability of data. Therefore, several subjective (simplifying) assumptions have to be made when a CPM is constructed, but with a single CPM their impact on the QMRA results is unclear. We therefore compared the performance of eight published CPMs for Campylobacter in broiler meat in an example of a QMRA, where all the CPMs were analyzed using one single input distribution of concentrations at retail, and the same dose-response relationship. It was found that, between CPMs, there may be a considerable difference in the estimated probability of illness per serving. However, the estimated relative risk reductions are less different for scenarios modeling the implementation of control measures. For control measures affecting the Campylobacter prevalence, the relative risk is proportional irrespective of the CPM used. However, for control measures affecting the concentration the CPMs show some difference in the estimated relative risk. This difference is largest for scenarios where the aim is to remove the highly contaminated portion from human exposure. Given these results, we conclude that for many purposes it is not necessary to develop a new detailed CPM for each new QMRA. However, more observational data on consumer food handling practices and their impact on microbial transfer and survival are needed to generalize this conclusion.
© 2010 Society for Risk Analysis.

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Year:  2010        PMID: 20738819     DOI: 10.1111/j.1539-6924.2010.01481.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

Review 1.  The Data Behind Risk Analysis of Campylobacter Jejuni and Campylobacter Coli Infections.

Authors:  Racem Ben Romdhane; Roswitha Merle
Journal:  Curr Top Microbiol Immunol       Date:  2021       Impact factor: 4.291

2.  Probabilistic model for the estimation of the consumer exposure to methicillin-resistant Staphylococcus aureus due to cross-contamination and recontamination.

Authors:  Carolina Plaza-Rodríguez; Annemarie Kaesbohrer; Bernd-Alois Tenhagen
Journal:  Microbiologyopen       Date:  2019-07-10       Impact factor: 3.139

3.  Contribution of Foods and Poor Food-Handling Practices to the Burden of Foodborne Infectious Diseases in France.

Authors:  Jean-Christophe Augustin; Pauline Kooh; Thomas Bayeux; Laurent Guillier; Thierry Meyer; Nathalie Jourdan-Da Silva; Isabelle Villena; Moez Sanaa; Olivier Cerf
Journal:  Foods       Date:  2020-11-11

4.  Challenges and Opportunities towards the Development of Risk Assessment at the Consumer Phase in Developing Countries-The Case of Campylobacter Cross-Contamination during Handling of Raw Chicken in Two Middle Eastern Countries.

Authors:  Ihab Habib; Ali Harb; Ingrid Hansson; Ivar Vågsholm; Walaa Osama; Salma Adnan; Mohamed Anwar; Neveen Agamy; Sofia Boqvist
Journal:  Pathogens       Date:  2020-01-16
  4 in total

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