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

Natacha Go

Modelling the immune response to the Porcine Respiratory and Reproductive Syndrome virus (PRRSv)

Abstract :

PRRSv is responsible for signi cant worldwide production loses and its control is a major challenge for the swine industry. The vaccination, which is the main control measure, did not allow to eradicate the infection and confers only a partial protection of the host. This e ciency lack is mainly due to the strong variability in PRRSv strain virulence, which induces highly variable within-host dynamics. This thesis aims to better understand the interactions between the virus and the immune response in order to improve the PRRS control. To tackle this issue, a modelling approach (deterministic and dynamic) has been choose. We developed an original immunological model, particularly adapted to PRRS. It consists of an integrative view of the interactions between the PRRSv and the immune system, representing the mechanisms at the between-cell scale. First, our results show that similar infection durations associated with contrasted immune dynamics are explained by the consideration of the immune mechanisms involved by the strain virulence. This provides new insights to explain apparent inconsistencies between experimental data. Then, an impact of both exposure intensity and duration on the within-host dynamics (which have not yet been explored for PRRS) has been shown and this impact varied depending on the strain virulence. Finally, the within-host dynamics induced by vaccinated pig infection in the eld has been explored, providing new insights to improve the vaccine e ciency. This thesis also provides new insights to guide further experimental and modelling approaches and promising prospects for the PRRS control at the herd level.

Key words :

PRRSv, respiratory pathogen, mathematical model, within-host dynamics, between-cell scale, immune response (innate and adaptive), strain virulence, exposure, vaccination