Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free:

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site:, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Google Analytics

Targeted advertising cookies


The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal Oniris

Home page

Mercat Mathilde

Team PEP'S

Mercat Mathilde
© MM

PhD student

 Oniris site de la Chantrerie, CS40706, 44307 Nantes, France
 team PEP'S, building G4 2nd floor

Email: mathilde (point) mercat (at) oniris-nantes (point) fr
Tel: 02 72 20 29 31


Her thesis project aims to develop output-based analytical methods for BVD-based animal health surveillance.

This thesis project is part of the European project (STOC FREE) funded by the European Food Safety Authority (EFSA). The aim of the project is to develop a standardised tool for the epidemiological surveillance of bovine diseases estimating the probabilities of absence of infection from data whose nature and origin can be varied. The development of the tool will be based on data collected in Europe for the control of the bovine viral diarrhoea virus. These data can be very diverse: results of biological tests looking for antigens, antibodies... carried out on serum, milk... on an animal or on a group of animals, risk factors related to the management of the farm.

Various statistical methods will be compared on the basis of their ability to predict a probability of infection. The selected model will allow studies at different levels of aggregation: individual, herd, region. It should also be adaptable to the surveillance of other diseases.

She is supervised by : Aurélien Madouasse, Christine Fourichon.

  • van Roon A. M., Santman-Berends I. M. G. A., Graham D., More S. J., Nielen M., van Duijn L., Mercat M., Fourichon C., Madouasse A., Gethmann J., Sauter-Louis C., Frössling J., Lindberg A., Correia-Gomes C., Gunn G. J., Henry M. K., van Schaik G. 2020. A description and qualitative comparison of the elements of heterogeneous bovine viral diarrhea control programs that influence confidence of freedom. Journal of Dairy Science, 103(5):4654-4671 [IF19=3.333] DOI: 10.3168/jds.2019-16915.
  • Van Roon A. M., Santman-Berends I. M. G. A., Graham D., More S. J., Nielen M., Madouasse A., Mercat M., Fourichon C., Gethmann J., Frössling J., Lindberg A., Correia-Gomes C., Gunn G. J., Sauter-Louis C., Henry M. K., van Duijn L., van Schaik G. 2019. STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes. Frontiers in Veterinary Science, 6:133 [IF19=2.245] DOI: 10.3389/fvets.2019.00133.