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Published January 24, 2018 | Version v1
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Listeria monocytogenes generic Quantitative Microbiological Risk Assessment (gQMRA) model

Authors/Creators

  • 1. Istituto Zooprofilattico Sperimentale delle Venezie, Italy
  • 2. CEBAS-CSIC, Spain: Departamento de Ciencia y Tecnología de los Alimentos, Grupo de Calidad, Seguridad y Bioactividad de Alimentos Vegetables, Centro de Edafología y Biología aplicada del Segura (CEBAS) Consejo Superior de Investigaciones Científicas (CSIC), Spain
  • 3. Teagasc, Agriculture and Food Development Authority, Ireland
  • 4. French Agency for Food, Environmental and Occupational Health & Safety, France
  • 5. Animal and Plant Health Agency, Bacteriology Department, United Kingdom
  • 6. Technical University of Cartagena, Spain
  • 7. University of Barcelona, Spain
  • 8. Research Institute for Agriculture, Fisheries and Food, Belgium
  • 9. Aristotle University of Thessaloniki, Greece
  • 10. University of Copenhagen, Denmark
  • 11. Norwegian University of Life Sciences, Norway
  • 12. Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Italy
  • 13. No current affiliation
  • 14. Agricultural University of Athens, Greece
  • 15. Animal and Plant Health Agency, Department of Epidemiological Sciences, United Kingdom
  • 16. Université Catholique de Louvain, Belgium
  • 17. Netherlands Food and Consumer Product Safety Authority and University of Amsterdam, The Netherlands
  • 18. National Veterinary Institute, Sweden
  • 19. European Centre for Disease Prevention and Control (ECDC), Sweden
  • 20. University of Veterinary Medicine Vienna, Austria
  • 21. European Food Safety Authority, Italy
  • 22. National Food Agency, Sweden

Description

This model was developed and applied by the EFSA Working Group on Listeria monocytogenes contamination of ready-to-eat (RTE) foods during the preparatory work on the Scientific Opinion ‘Listeria monocytogenes contamination of ready-to-eat foods and the risk for human health in the EU’ (see 10.2903/sp.efsa.2017.EN-1252).

This model was based on the model developed by Pérez-Rodríguez et al. (2017) (see 10.2903/sp.efsa.2017.EN-1252) with some adaptations and improvements in order to examine the possible effect of factors/hypotheses on the increase of human invasive listeriosis incidence rates in the EU/EEA. It is a quantitative microbiological risk assessment (QMRA) model, developed in R. The model is generic in the sense that the model allows the inclusion of more or fewer RTE food categories and subpopulations without changing the R code. As the inputs are provided in structured Microsoft Excel tables, the code automatically interprets the number of RTE food categories and the number of subpopulations. The R code and model implementation allow an expanded evaluation of uncertainty when the uncertainty about the inputs are available. The model also allows for full inclusion of the variability related to the dose-response (DR) model.

The model is implemented in R, using three codes. gQMRA.R needs to be run first, which then calls the other two codes (script1.R and script2.R). The working directory needs to be defined in the code gQMRA (currently there is a placeholder named 'WORKING DIRECTORY'). All three codes need to be included in this directory as well as the dataset files.

Notes

EU; R; biohaz@efsa.europa.eu

Files

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Additional details

Related works

Is supplement to
10.2903/j.efsa.2018.5134 (DOI)
References
10.2903/sp.efsa.2017.EN-1252 (DOI)

References

  • Pouillot R, Hoelzer K, Chen YH and Dennis SB, 2015. Listeria monocytogenes dose response revisited-incorporating adjustments for variability in strain virulence and host susceptibility. Risk Analysis, 35, 90-108. 10.1111/risa.12235

Subjects

Risk assessment
http://id.agrisemantics.org/gacs/C1470
Predictive microbiology
http://id.agrisemantics.org/gacs/C16410
Risk analysis
http://id.agrisemantics.org/gacs/C21254
Mathematical models
http://id.agrisemantics.org/gacs/C162
Microbial growth
http://id.agrisemantics.org/gacs/C3501
Food microbiology
http://id.agrisemantics.org/gacs/C2256
Listeria monocytogenes
http://id.agrisemantics.org/gacs/C3027
Listeriosis
http://id.agrisemantics.org/gacs/C19651
Stochastic models
http://id.agrisemantics.org/gacs/C22070
Dosage effects
http://id.agrisemantics.org/gacs/C900