Know more

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie


Shelf life

CAS and PHP session cookies

Login credentials, session security



Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie


Shelf life


Trace the visitor's route in order to establish visit statistics.

13 months


Store the anonymous ID of the visitor who starts the first time he visits the site

13 months


Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at or by post at :


24, chemin de Borde Rouge -Auzeville - CS52627 31326 Castanet Tolosan cedex - France

Last update: May 2021

Menu Logo Principal Oniris

Home page

Poster video presentation of Rodney Feliciano at the IAFP virtual conference of 2021

Poster presentation of R. Feliciano
Probabilistic modelling of the exposure of E. coli in raw milk

Rodney Feliciano, Phd student in the framework of the European project, ITN PROTECT, on the effects of climate change on food safety, presented his work in the IAFP virtual conference which held on the 27th and 28th of april, 2021.

Modélisation probabiliste de l'exposition à E. coli dans le lait cru

Rodney Feliciano, Secalim, INRAE / ONIRIS, Nantes, France
 Géraldine Boué1, Fahad Mohssin2, Muhammad Mustafa2, Jeanne-Marie Membré1

1Secalim, INRAE, Oniris, Nantes, France

2AlSafi Danone, Al-Kharj, Saudi Arabia

Introduction: Probabilistic modelling tools are increasingly being developed to take into account the different sources of variability and uncertainty along the food safety continuum in exposure or risk assessment models. These models are also popular to reflect real-life data and generate what-if scenarios to inform decision makers.
Purpose: Probabilistic modelling tools were utilized in developing a coliform bacteria exposure assessment model in raw milk in Kingdom of Saudi Arabia (KSA). This country was taken as proxy of what will happen in Europe in the near future due to climate change.
Methods: The initial coliform concentration in raw milk was derived from industrial dairy farm data (around 1695 data) while microbial growth was determined across various scenarios of time and temperature storage, using existing databases. The exposure to coliform was interpreted considering KSA and EU standards. The probabilistic model, with uncertainty and variability separated, was implemented in R using the mc2d while to fit the data, the nls function and the packages nlstools and fitdistrplus were used.
Results: The level of exposure to coliform concentration was compared to KSA and EU standards as function of various time and temperature conditions. The impact of raw milk, storage time, chilled temperature conditions on the compliance regarding these standards was analysed in details. The upcoming climate change may affect the storage temperature but also the milk quality due to potential cow heat stress.
Significance: The application of probabilistic modelling tools to assess current exposure can be expanded to other food systems. The ways on how the variability and uncertainty from data inputs and storage scenarios were addressed, using second order Monte Carlo procedure, provide an added-value to develop realistic exposure assessment models and suggest mitigation options.

See also