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

Pauline Ezanno

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

Pauline Ezanno
© PE

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, France. 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 to Supervise Research) in 2010. Research director since 2015, I lead the DYNAMO team, composed of BIOEPAR modellers. From 2012 to 2017, I coordinated an Investissements d'Avenir project ( involving INRAE, Oniris, ANSES, INRIA, IRMAR, and a team from the Swedish Veterinary Institute (SVA). I contributed to the development of two software packages dedicated to health managers that each received an innovation award (Innov'Space 2015 & 2016). I led an international modelling challenge on African swine fever (ASF Challenge). I was also responsible for workpackages in 4 national research projects, dealing with livestock trade movements, vector population dynamics, epidemic dynamics of vector-borne diseases, and prioritisation of infectious animal disease control strategies. Since 2021, I am co-leading the WP2 in the H2020 DECIDE project ( which focuses on the development of modelling tools for data-based management and prioritisation of endemic contagious animal diseases in Europe. From April 2023, I will co-lead an Horizon Europe project (ecology of wildlife, livestock, human and infectious diseases in changing environments) and lead its WP4 (interactions among pathogens, hosts, vectors and the environment: role in infectious diseases emergence, spread and persistence). Furthermore, I co-organised the two editions of the "Modelling in Animal Health" conference (2017, 2021). I also train many students (PhD, Master, etc.) and contribute to higher and continuing education in my field of expertise. Finally, I am the author of more than 90 scientific articles and full conference papers.

Research topics interests
  • Stochastic mechanistic modeling
  • Epidemiology and population dynamics
  • Multiscale processes: intra-host, population, metapopulation
  • Numerical analyses of simulation models
  • Assessment of targeted control strategies

Recent publications
  • Biemans F., Arnoux S., More S.J., Tratalos J.A., Gavey L., Ezanno P. 2022. The effect of risk-based trading and within-herd measures on Mycobacterium avium subspecies paratuberculosis spread within and between Irish dairy herds. Prev Vet Med 209:105779. 
  • Biemans F., Tratalos J., Arnoux S., Ramsbottom G., More S., Ezanno P. 2022. Modelling transmission of Mycobacterium avium subspecies paratuberculosis between Irish dairy herds. Vet Res 53:45.
  • Cecilia H., Drouin A., Métras R., Balenghien T., Durand B., Chevalier V., Ezanno P. 2022. Mechanistic models of Rift Valley fever virus transmission dynamics: a systematic review. PLoS Negl Trop Dis 16(11):e0010339.
  • Cecilia H., Vriens R., Schreur P.W., de Wit M., Métras R., Ezanno P., ten Bosch Q.  2022. Heterogeneity of Rift valley fever virus transmission potential across livestock hosts, quantified through a model-based analysis of host viral load and vector infection. PLoS Comput Biol 18(7): e1010314.
  • Cristancho L., Ezanno P., Vergu E. 2022. Dynamic resource allocation for controlling pathogen spread on a large animal metapopulation network. J R Soc Interface 19: 20210744.
  • Cristancho-Fajardo L., Vergu E., Beaunée G., Arnoux S., Ezanno P. 2022. Learning and strategic imitation in modelling farmers’ dynamic decisions on Bovine Viral Diarrhoea vaccination. Veterinary Research 53:102.‑022‑01112‑2
  • Ezanno P., Arnoux S., Joly A., Vermesse R. 2022. Rewiring cattle trade movements helps to control bovine paratuberculosis at a regional scale. Prev Vet Med 198:105529.
  • Ezanno P., Picault S., Bareille S., Beaunée G., Boender G.J., Dankwa E.A., Deslandes F., Donnelly C.A., Hagenaars T.J., Hayes S., Jori F., Lambert S., Mancini M., Munoz F., Pleydell D.R.J., Thompson R.N., Vergu E., Vignes M., Vergne T. 2022. The African swine fever modelling challenge: model comparison and lessons learnt. Epidemics 40, 100615.
  • Picault S., Ezanno P., Smith K., Amrine D., White B., Assié S. 2022. Modelling contrasted fattening systems in Europe and the USA and their impact on Bovine Respiratory Disease burden. Vet Res 53:77.
  • Picault S., Vergne T., Mancini M., Bareille S., Ezanno P. 2022. The African swine fever modelling challenge: objectives, model description and synthetic data. Epidemics 40, 100616.
  • 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.
  • Biemans F., Ben Romdhane R., Gontier P., Fourichon C., Ramsbottom G., More S. J., Ezanno P. 2021. Modelling transmission and control of Mycobacterium avium subspecies paratuberculosis within Irish dairy herds with compact spring calving. Prev Vet Med 186:105228. DOI: 10.1016/j.prevetmed.2020.105228.
  • 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. 2021. Dispersal in heterogeneous environments drives population dynamics and control of tsetse flies. Proc R Soc B 288(1944):20202810 DOI: 10.1098/rspb.2020.2810.
  • Cristancho Fajardo L., Ezanno P., Vergu E. 2021. Integrative modelling of pathogen spread through animal trade by accounting for farmers’ control decisions. Sci Rep 11:9581
  • Ezanno P., Picault S., Beaunée G., Bailly X., Muñoz F., Duboz R., Monod H., Guégan J.-F. 2021. Research perspectives on animal health in the era of artificial intelligence. Vet Res 52(1):40 DOI: 10.1186/s13567-021-00902-4.
  • Morel-Journel T., Assié S., Vergu E., Mercier J.-B., Bonnet-Beaugrand F., Ezanno P. 2021. Minimizing the number of origins in batches of weaned calves to reduce their risks of developing bovine respiratory diseases. Vet Res 52(1):5 DOI: 10.1186/s13567-020-00872-z.
  • Morel-Journel T., Vergu E., Mercier J. B., Bareille N., Ezanno P. 2021. Selecting sorting centres to avoid long distance transport of weaned beef calves. Sci Rep 11(1):1289 DOI: 10.1038/s41598-020-79844-4.
  • 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, 33:100409 DOI: 10.1016/j.epidem.2020.100409.
  • 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, 32:100398. DOI: 10.1016/j.epidem.2020.100398.
  • Lupo C., Dutta B.L., Petton S., Ezanno P., Tourbiez D., Travers M-A., Pernet F., Bacher C. 2020. Spatial epidemiological modelling of infection by Vibrio aestuarianus shows that connectivity and temperature control oyster mortality. Aqua Envir Interact 12, 511-527,
  • Parlavantzas N., Pham L.M., Morin C., Arnoux S., Beaunée G., Qi L., Gontier P., Ezanno P. 2020. A service-based framework for building and executing epidemic simulation applications in the cloud. Concurrency and Computation: Practice and Experience, 32(5):e5554
  • 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 (
  • 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 Comput Biol 15(9):e1007342
  • 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. Front Vet Sci 6:142,
  • 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). Vet Res 50:30
  • Camanes G., Joly A., Fourichon C., Ben Romdhane R., Ezanno P. 2018. Control measures to prevent the increase of paratuberculosis prevalence in dairy cattle herds: an individual-based modelling approach. Vet Res 49(1):60,
  • Hoch T., Touzeau S., Viet A.-F., Ezanno P. 2018. Between-group pathogen transmission: From processes to modeling. Ecol Modell 383:138-149,
  • Lambert S., Ezanno P., Garel M., Gilot-Fromont E. 2018. Stochasticity drives epidemiological patterns in wildlife with implications for diseases and population management. Sci Rep 8:16846
  • 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
  • Beaunée G., Vergu E., Joly A., Ezanno P. 2017. Controlling bovine paratuberculosis at a regional scale: towards a decision modeling tool. J Theor Biol 435:157-183 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. Vet Res 48(1):62,

See also

Pauline Ezanno's publications on Hal