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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) INRAE, HDR
UMR 1300 BIOEPAR

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

Email: pauline.ezanno [at] inrae.fr
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 (www.inrae.fr/mihmes/) 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)". 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
Liens

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

Some of my recent publications
  • 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] https://doi.org/10.1002/cpe.5554
  • 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, https://doi.org/10.1101/493650, ver. 3 peer-reviewed and recommended by PCI Ecology (https://dx.doi.org/10.24072/pci.ecology.100024)
  • 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] https://doi.org/10.1371/journal.pcbi.1007342
  • 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] https://doi.org/10.1186/s13567-019-0647-x
  • 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] 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. 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] https://doi.org/10.1038/s41598-018-34623-0
  • 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] 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. 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] https://doi.org/10.1186/s13567-017-0468-8
  • 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] https://doi.org/10.1098%2Frsif.2015.1099
  • 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] https://doi.org/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. Veterinary Research, 46:12 [IF19=3.357] https://doi.org/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. Preventive Veterinary Medicine, 120(1):39-50 [IF19=2.304] https://doi.org/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. Journal of Dairy Science, 98(8):5194-5210 [IF19=3.333] https://doi.org/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. Preventive Veterinary Medicine 117(1):79-94 [IF19=2.304] https://doi.org/10.1016/j.prevetmed.2014.09.005

See also

Pauline Ezanno's publications on ProdINRA