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

Dernière mise à jour : Mai 2018

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Pauline Ezanno

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

Pauline Ezanno
Senior Researcher (DR2) INRA, HDR ................................................................... UMR1300 BIOEPAR ................................................................................................ Oniris site de la Chantrerie, CS40706, 44307 Nantes, France ........................ Tél : +33 (0) 272 202 938 ....................................................................................... Email : pauline.ezanno [at] inra.fr ..........................................................................

I defended my PhD (MontpellierSupAgro & Univ. Montpellier) in Integrative Biology in 2002. I was recruited in 2003 as an INRA 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 (www.inra.fr/mihmes/) involving INRA, 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 INRA 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)". Finally, I train many students (thesis, master, 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-scale
  • Numerical analyses of simulation models
  • Assessment of targeted control strategies
Liens

http://www.researchgate.net/profile/Pauline_Ezanno

http://www.inra.fr/mihmes/

Publications
  • 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. Vet Res 49:60. https://doi.org/10.1186/s13567-018-0557-3
  • Hoch T., Touzeau S., Viet A.F., Ezanno P. 2018. Between-group pathogen transmission: from processes to modelling. Ecol Model 383, 138-149.
  • 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. https://doi.org/10.1371/journal.pone.0197612
  • 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 48:62, https://doi.org/10.1186/s13567-017-0468-8
  • Pham L. M., Parlavantzas N., Morin C., Arnoux S., Qi L., Gontier P., Ezanno P. 2017. DiFFuSE, a distributed framework for cloud-based epidemic simulations: a case study in modelling the spread of bovine viral diarrhea virus. In: Cloud Com (p. 304-313). Presented at 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Hong Kong, China (Dec. 2017). New York, USA : IEEE Institute of Electrical and Electronics Engineers. 10, DOI:10.1109/CloudCom.2017.41
  • Picault S., Huang Y-L., Sicard V., Ezanno P. 2017. Enhancing Sustainability of Epidemiological Models through a Generic Multilevel Agent-based Approach. 26th International Joint Conference on Artificial Intelligence (IJCAI), p. 374-380, DOI: 10.24963/ijcai.2017/53
  • Picault S., Huang Y-L., Sicard V., Beaudeau F., Ezanno P. 2017. A Multi-Level Multi-Agent Simulation Framework in Animal Epidemiology. 15th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), Springer LNCS 10349, p. 209-221. DOI: 10.1007/978-3-319-59930-4_17
  • 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. J Roy Soc Interface, 13(116):20151099. DOI: 10.1098%2Frsif.2015.1099.
  • Beaunée G., Gilot-Fromont E., Garel M., Ezanno P. 2015. A novel epidemiological model to better understand and predict the observed seasonal spread of Pestivirus in Pyrenean chamois populations. Vet Res 46(1):86. DOI: 10.1186/s13567-015-0218-8.
  • Beaunée G., Vergu E., Ezanno P. 2015. Modelling of paratuberculosis spread between dairy cattle farms at a regional scale. Vet Res 46:111. DOI:10.1186/s13567-015-0247-3.
  • 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. Vet Res 46:12. DOI: 10.1186/s13567-015-0145-8.
  • 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. Prev Vet Med 120(1):39-50. DOI: 10.1016/j.prevetmed.2014.12.018.
  • 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. J Dairy Sci 98(8):5194-5210. DOI: 10.3168/jds.2014-8211.
  • Dutta B.L., Ezanno P., Vergu E. 2014. Characteristics of the spatio-temporal network of cattle movements in France over a 5-year period. Prev Vet Med 117(1):79-94. DOI: 10.1016/j.prevetmed.2014.09.005.
  • Charron M., Balenghien T., Seegers H., Langlais M., Ezanno P. 2013. How much can Diptera-Borne viruses persist over unfavourable seasons? PloS ONE 8(9):e74213. DOI: 10.1371/journal.pone.0074213.
  • Charron M., Kluiters G., Langlais M., Seegers H., Baylis M., Ezanno P. 2013. Seasonal and spatial heterogeneities in host and vector abundances impact the spatiotemporal spread of bluetongue. Vet Res 44(1):44. DOI: 10.1186/1297-9716-44-44.
  • Cailly P., Tran A., Balenghien T., L'Ambert G., Toty C., Ezanno P. 2012. A climate-driven abundance model to assess mosquito control strategies. Ecol Model 227:7-17. DOI: 10.1016/j.ecolmodel.2011.10.027.

See also

Pauline Ezanno's publications on ProdINRA