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

Dernière mise à jour : Mai 2018

Menu Logo Principal Oniris

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Thierry Hoch

Team TiBoDi

Thierry Hoch
© TH

Research Engineer

 Oniris site de la Chantrerie, CS40706, 44307 Nantes, France
 team TiBoDi, building G2 1st floor

Email: thierry (point) hoch (at) inrae (point) fr
Tel: 02 40 68 78 55

He holds an agricultural engineer degree, and then completed a MSc and a PhD in Biomathematics. As a PhD at IFREMER, and later on at INRA, he has always been dealing with dynamic modelling applied to topics related to biology and ecology. He began his carrier at INRA in Clermont-Theix in 1998, where he has developed beef cattle growth models. He moved to Nantes in 2004 and he is dealing since that date with modelling applied to animal epidemiology. Beside theoretical works, his main interests lie in topics related to tick population dynamics and to the transmission of pathogens by these vectors. He has developed models for different tick-borne diseases. His current projects concern the use of such models to simulate the impact of global changes.

Research Department

Animal Health

  • Engineer in Agronomy (ENSA Rennes)
  • MSc and PhD in Biomathematics (Paris VII University)
Research topics interests
  • Dynamic modelling
  • Epidemiology
  • Transmission
  • Population dynamics
  • Teaching reponsabilities: “Modelling in epidemiology” courses, MSc  “Modelling in Ecology” (Rennes 1 University)

  • Wongnak P., Bord S., Donnet S., Hoch T., Beugnet F., Chalvet-Monfray K. 2022. A hierarchical Bayesian approach for incorporating expert opinions into parametric survival models: A case study of female Ixodes ricinus ticks exposed to various temperature and relative humidity conditions. Ecological Modelling 464:109821 [IF20=2.974] DOI: 10.1016/j.ecolmodel.2021.109821.
  • Plantard O., Hoch T., Daveu, R., Rispe, C., Stachurski, F., Boué, F., Poux, V., Cebe, N., Verheyden, H., René-Martellet, M., Chalvet-Monfray, K., Cafiso, A., Olivieri, E., Moutailler, S., Pollet, T., and Agoulon, A. 2021. Where to find questing Ixodes frontalis ticks? Under bamboo bushes! Ticks and Tick-borne Diseases, 12(2):101625 [IF19=2.749] DOI: 10.1016/j.ttbdis.2020.101625.
  • 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.
  • Agoulon A., Hoch T., Heylen D., Chalvet-Monfray K., Plantard O. 2019. Unraveling the phenology of Ixodes frontalis, a common but understudied tick species in Europe. Ticks and Tick-Borne Diseases. 10:505-512 [IF19=2.749]
  • Hoch T., Breton E., Vatansever Z. 2018. Dynamic Modeling of Crimean Congo Hemorrhagic Fever Virus (CCHFV) Spread to Test Control Strategies. Journal of Medical Entomology 55(5):1124-1132 [IF19=1.925] DOI: 10.1093/jme/tjy035.
  • Hoch T., Touzeau S., Viet A.-F., Ezanno P. 2018. Between-group pathogen transmission: From processes to modeling. Ecological Modelling, 383:138-149 [IF19=2.497] DOI: 10.1016/j.ecolmodel.2018.05.016.
  • Martin J., Vourc’h G., Bonnot N., Cargnelutti B., Chaval Y., Lourtet B., Goulard M., Hoch, T. Plantard O., Hewison M. A. J., Morellet N. 2018. Temporal shifts in landscape connectivity for an ecosystem engineer across a multiple-use landscape, the roe deer. Landscape Ecology 33(6):937-954 [IF19=3.385] DOI: 10.1007/s10980-018-0641-0.
  • Cat J., Beugnet F., Hoch T., Jongejan F., Prangé A., Chalvet-Monfray K. 2017. Influence of the spatial heterogeneity in tick abundance in the modeling of the seasonal activity of Ixodes ricinus nymphs in Western Europe. Experimental and Applied Acarology, 71(2):115-130 [IF19=1.532] DOI : 10.1007/s10493-016-0099-1.
  • Nusinovici S., Hoch T., Brahim M. L., Joly A., Beaudeau F. 2017. The effect of wind on Coxiella burnetii transmission between cattle herds: a mechanistic approach. Transboundary and Emerging Diseases, 64(2):585-592. [IF19=4.188] DOI: 10.1111/tbed.12423.
  • Hoch T., Breton E., Josse M., Deniz A., Guven E., Vatansever Z. 2016. Identifying main drivers and testing control strategies for CCHFV spread. Experimental and Applied Acarology, 68(3):347-359. [IF19=1.532] DOI: 10.1007/s10493-015-9937-9.
  • Pandit P., Hoch T., Ezanno P., Beaudeau F., Vergu E. 2016. Spread of Coxiella burnetii between dairy cattle herds in an enzootic region: modelling contributions of airborne transmission and trade. Veterinary Research, 47:48. [IF19=3.357] DOI: 10.1186/s13567-016-0330-4.
  • Nusinovici S., Madouasse A., Hoch T., Guatteo R., Beaudeau F. 2015. Evaluation of Two PCR Tests for Coxiella burnetii Detection in Dairy Cattle Farms Using Latent Class Analysis. PLoS ONE, 10(12):e0144608. [IF19=2.740] DOI: 10.1371%2Fjournal.pone.0144608.
  • Nusinovici S., Hoch T., Widgren S., Joly A., Lindberg A., Beaudeau F. 2014. Relative contributions of neighborhood and animal movements to Coxiella burnetii infection in dairy cattle herds. Geospatial Health 8(2):471-477 [IF19=1.078] DOI: 10.4081/gh.2014.36.
  • Agoulon A., Malandrin L., Lepigeon F., Vénisse M., Bonnet S., Becker C. A. M., Hoch T., Bastian S., Plantard O., Beaudeau F. 2012. A Vegetation Index qualifying pasture edges is related to Ixodes ricinus density and to Babesia divergens seroprevalence in dairy cattle herds. Veterinary Parasitology, 185(2-4):101-109 [IF19=2.157] DOI: 10.1016/j.vetpar.2011.10.022.
  • Hoch T., Goebel J., Agoulon A., Malandrin L. 2012. Modelling bovine babesiosis: A tool to simulate scenarios for pathogen spread and to test control measures for the disease. Preventive Veterinary Medicine 106(2):136-142 [IF19=2.304] DOI: 10.1016/j.prevetmed.2012.01.018.
  • Lurette A., Touzeau S., Ezanno P., Hoch T., Seegers H., Fourichon C., Belloc C. 2011. Within-herd biosecurity and Salmonella seroprevalence in slaughter pigs: a simulation study. Journal of Animal Science 89(7):2210-2219 [IF19=2.092]. DOI: 10.2527/jas.2010-2916.
  • Hoch T., Monnet Y., Agoulon A. 2010. Influence of host migration between woodland and pasture on the population dynamics of the tick Ixodes ricinus: A modelling approach. Ecological Modelling 221(15):1798-1806 [IF19=2.497]. DOI: 10.1016/j.ecolmodel.2010.04.008.
  • Hoch T., Fourichon C., Viet A. F., Seegers H. 2008. Influence of the transmission function on a simulated pathogen spread within a population. Epidemiology and Infection 136:1374-1382 [IF19=2.152] DOI: 10.1017/S095026880700979X.
  • Lurette A., Belloc C., Touzeau S., Hoch T., Ezanno P., Seegers H., Fourichon C. 2008. Modelling Salmonella spread within a farrow-to-finish pig herd. Veterinary Research 39:49 [IF19=3.357] DOI: 10.1051/vetres:2008026.
  • Lurette A., Belloc C., Touzeau S., Hoch T., Seegers H., Fourichon C. 2008. Modelling batch farrowing management within a farrow-to-finish pig herd: influence of management on contact structure and pig delivery to the slaughterhouse. Animal 2:105-116 [IF19=2.400] DOI: 10.1017/S1751731107000997.
  • Ménesguen A., Cugier P., Loyer S., Vanhoutte-Brunier A., Hoch T., Guillaud J.-F., Gohin F. 2007. Two- or three-layered box-models versus fine 3D models for coastal ecological modelling? A comparative study in the English Channel (Western Europe). Journal of Marine Systems, 64:47-65 [IF19=2.528] DOI: 10.1016/j.jmarsys.2006.03.017.
  • Hoch T., Jurie C., Pradel P., Cassar-Malek I., Jailler R., Picard B., Agabriel J. 2005. Effects of hay quality on intake, growth path, body composition and muscle characteristics of Salers heifers. Animal Research 54:241-257 [IF08=0.917] DOI: 10.1051/animres:2005022.
  • Hoch T., Agabriel J. 2004. A mechanistic dynamic model to estimate beef cattle growth and body composition: 1. Model description. Agricultural Systems 81:1-15 [IF19=4.212] DOI: 10.1016/j.agsy.2003.08.005.
  • Hoch T., Agabriel J. 2004. A mechanistic dynamic model to estimate beef cattle growth and body composition: 2. Model evaluation. Agricultural Systems 81:17-35 [IF19=4.212] DOI: 10.1016/j.agsy.2003.08.006.


See also

Thierry Hoch's publications on ProdINRA