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

Pauline Ezanno

DYNAMO team leader: "Modelling in population dynamics and animal epidemiology"

Pauline Ezanno

Senior Researcher (DR2) INRAE, HDR

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

Email: pauline.ezanno [at]
Tel: +33 (0) 272 202 938

I defended my PhD (MontpellierSupAgro & Univ. Montpellier) in Integrative Biology in 2002. I was recruited in 2003 as an INRAE permanent researcher in BIOEPAR, Nantes. With skills in mechanistic modelling, animal epidemiology, and population dynamics, my researches focus on better understanding and predicting the multi-scale spread of pathogens and the spatio-temporal dynamics of host and vector populations. I obtained my HDR (Habilitation à Diriger des Recherches) in 2010. Research director since 2015, I lead the DYNAMO team gathering BIOEPAR modelers. From 2012 to 2017, I coordinated a project investment for the future ( involving INRAE, Oniris, ANSES, INRIA, IRMAR, and a team from the Swedish Veterinary Institute (SVA). I contributed to the development of two software programs dedicated to health managers, each of which received an innovation award (Innov'Space 2015 & 2016). I am currently participating in the ANR Cadence project (WP leader) "propagation of epidemic processes on dynamic networks of animal movements with application to cattle in France", as well as in the INRAE Foresee project (WP leader) "virus-host-environment interaction and factors at the origin of the emergence, spread and persistence of pathogens: Rift Valley fever (RVF)". Since 2021, I am co-leading the WP2 modelling in the H2020 DECIDE project ( which focuses on the development of tools for data-based management and prioritisation of endemic contagious animal diseases in Europe. Finally, I train many students (PhD, masters, etc.) and contribute to higher education in my field of expertise. I am the author of over 60 scientific articles.

Research topics interests
  • Stochastic mechanistic modeling
  • Epidemiology and population dynamics
  • Multi-scales
  • Numerical analyses of simulation models
  • Assessment of targeted control strategies

Some of my recent publications
  • Cristancho L., Ezanno P., Vergu E. 2022. Dynamic resource allocation for controlling pathogen spread on a large animal metapopulation network. Journal of the Royal Society Interface (proof)
  • Ezanno P., Arnoux S., Joly A., Vermesse R. 2022. Rewiring cattle trade movements helps to control bovine paratuberculosis at a regional scale. Preventive Veterinary Medicine 198:105529.
  • Arnoux S., Bidan F., Damman A., Petit E., Assié S., Ezanno P. 2021. To vaccinate or not: impact of bovine viral diarrhoea in French cow-calf herds. Vaccines 9(10), 1137.
  • Cristancho Fajardo L., Ezanno P., Vergu E. 2021. Integrative modelling of pathogen spread through animal trade by accounting for farmers’ control decisions. Scientific Report 11:9581
  • Cecilia H., Métras R., Fall A. G., Lo M. M., Lancelot R., Ezanno P. 2020. It's risky to wander in September: modelling the epidemic potential of Rift Valley fever in a Sahelian setting. Epidemics, MedRxiv, In Press, DOI: 10.1101/2020.02.25.20027821.
  • Ezanno P., Andraud M., Beaunée G., Hoch T., Krebs S., Rault A., Touzeau S., Vergu E., Widgren S. 2020. How mechanistic modelling supports decision making for the control of enzootic infectious diseases. Epidemics, 100398. [IF19=2.976] DOI: 10.1016/j.epidem.2020.100398.
  • Parlavantzas N., Pham L.M., Morin C., Arnoux S., Beaunée G., Qi L., Gontier P., Ezanno P. 2019. A service-based framework for building and executing epidemic simulation applications in the cloud. Concurrency and Computation: Practice and Experience, 32(5):e5554 [IF19=1.447]
  • Cecilia H., Arnoux S., Picault S., Dicko A., Seck M.T., Sall B., Bassène M., Vreysen M., Pagabeleguem S., Bancé A., Bouyer J., Ezanno P. 2019. Environmental heterogeneity drives tsetse fly population dynamics and control. bioRxiv,, ver. 3 peer-reviewed and recommended by PCI Ecology (
  • Lupo C., Travers M. A., Tourbiez D., Barthélémy C. F., Beaunée G., Ezanno P. 2019. Modeling the transmission of Vibrio aestuarianus in Pacific oysters, Crassostrea gigas, using experimental infection data. Frontiers in Veterinary Science, 6:142 [IF19=2.245] DOI: 10.3389/fvets.2019.00142.
  • Picault S., Huang Y.-L., Sicard V., Arnoux S., Beaunée G., Ezanno P. 2019. EMULSION: transparent and flexible multiscale stochastic models in human, animal and plant epidemiology. PLoS Computational Biology, 15(9):e1007342 [IF19=4.428]
  • Qi L., Beaunée G., Arnoux S., Dutta B.L., Joly A., Vergu E., Ezanno P. 2019. Neighbourhood contacts and trade movements drive the regional spread of bovine viral diarrhoea virus (BVDV). Veterinary Research, 50:30 [IF19=3.357]
  • Camanes G., Joly A., Fourichon C., Ben Romdhane R., Ezanno P. 2018. Control measures to avoid increase of paratuberculosis prevalence in dairy cattle herds: an individual-based modelling approach. Veterinary Research, 49:60 [IF19=3.357]
  • Hoch T., Touzeau S., Viet A.F., Ezanno P. 2018. Between-group pathogen transmission: from processes to modelling. Ecological Modelling, 383, 138-149 [IF19=2.497] DOI: 10.1016/j.ecolmodel.2018.05.016.
  • Lambert S., Ezanno P., Garel M., Gilot-Fromont E. 2018. Stochasticity drives epidemiological patterns in wildlife with implications for diseases and population management. Scientific Reports, 8:16846 [IF19=3.998]
  • Viet A-F., Krebs S., Rat-Aspert O., Jeanpierre L., Belloc C., Ezanno P. 2018. A modelling framework based on MDP to coordinate farmers' disease control decisions at a regional scale. PLoS ONE 13(6):e0197612 [IF19=2.740]
  • Beaunée G., Vergu E., Joly A., Ezanno P. 2017. Controlling bovine paratuberculosis at a regional scale: towards a decision modeling tool. Journal of Theoretical Biology, 435:157-183 [IF19=2.327] doi: 10.1016/j.jtbi.2017.09.012.
  • Ben Romdhane R., Beaunée G., Camanes G., Guatteo R., Fourichon C., Ezanno P. 2017. Which phenotypic traits of resistance should be improved in cattle to control paratuberculosis dynamics in a dairy herd: a modelling approach.  Veterinary Research, 48:62, [IF19=3.357]
  • Moslonka-Lefebvre M., Gilligan C. A., Monod H., Belloc C., Ezanno P., Filipe J. A. N., Vergu E. 2016. Market analyses of livestock trade networks to inform the prevention of joint economic and epidemiological risks. Journal of the Royal Society Interface, 13(116):20151099 [IF19=3.748]
  • Beaunée G., Vergu E., Ezanno P. 2015. Modelling of paratuberculosis spread between dairy cattle farms at a regional scale. Veterinary Research, 46:111 [IF19=3.357]
  • Damman A., Viet A. F., Arnoux S., Guerrier-Chatelet M. C., Petit E., Ezanno P. 2015. Modeling the spread of bovine viral diarrhea virus (BVDV) in a beef cattle herd and its impact on herd productivity. Veterinary Research, 46:12 [IF19=3.357]
  • Ezanno P., Aubry-Kientz M., Arnoux S., Cailly P., L'Ambert G., Toty C., Balenghien T., Tran A. 2015. A generic weather-driven model to predict mosquito population dynamics applied to species of Anopheles, Culex and Aedes genera of southern France. Preventive Veterinary Medicine, 120(1):39-50 [IF19=2.304]
  • More S., Cameron A., Strain S., Cashman B., Ezanno P., Kenny K., Fourichon C., Graham D. 2015. Evaluation of testing strategies to identify infected animals at a single round of testing within dairy herds known to be infected with Mycobacterium avium subspecies paratuberculosis. Journal of Dairy Science, 98(8):5194-5210 [IF19=3.333]
  • Dutta B.L., Ezanno P., Vergu E. 2014. Characteristics of the spatio-temporal network of cattle movements in France over a 5-year period. Preventive Veterinary Medicine 117(1):79-94 [IF19=2.304]

See also

Pauline Ezanno's publications on ProdINRA