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Save the date | Modelling cross-contamination for quantitative microbiological risk assessment"

Dernière mise à jour : 13 févr. 2024







Summary

This is a one-hour webinar that provides the participants the opportunity to learn more about the e-Safefood project, its e-learning platform, and the modelling of cross contamination.


The e-SafeFood project aims at developing an interactive e-training program, full of user-tailored pedagogical material about microbiological food risks. On the 19th June 2023, we had a first webinar about the new societal challenges related to microbiological safety.

For this second webinar we will discover the importance of cross-contamination as source of foodborne disease, and the types of cross-contamination models taken as modules of quantitative risk assessments. Finally, the tutor will demonstrate the programming of a cross-contamination model in the R software.


Event type

An interactive webinar with interventions from the public (via a chatroom).


Full title

Modelling cross-contamination for quantitative microbiological risk assessment


Overview

  1. Introduction to the e-Safefood project, Wilfried Paget - ACTIA (10 minutes)

  2. Presentation of the ISEKI Moodle platform and its access for the training unit, Louis Mayor – ISEKI (5 minutes)

  3. Focus on the modelling of Cross Contamination, Ursula Gonzales-Barron - Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança (IPB), Portugal (30 minutes)

Content

  • Cross-contamination in food processing

  • Types of cross-contamination models

  • Factors affecting cross-contamination

  • A cross-contamination model in R

  • Q&A session (15 minutes)

When?

24 January 2024 - 10.30-11.30 am (CET time)

 

Language

English. 


Subscriptions are not available anymore. The event already occured. Thank you.

Comments


This project has been funded with support from the European Commission. This website reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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