Thibaud Porphyre




Campus vétérinaire

Département d’enseignement :  Santé et bien-être animal

Unité de recherche : chaire industrielle santé publique vétérinaire (SPV)

N° identifiant ORCID : 0000-0002-8552-9899

  • K. Stański, S. Lycett, T. Porphyre & C. Bronsvoort (2020) Machine learning for improving herd-level bovine tuberculosis breakdown predictions in GB cattle. Scientific reports, in press.
  • T. Porphyre, B.M. de C. Bronsvoort, G.J. Gunn, C. Correia-Gomes (2020) Multilayer network analysis unravels haulage vehicles as a hidden threat to the British swine industry. Transboundary and Emerging Diseases
  • I. McLachlan, G. Marion, I. J. McKendrick, T. Porphyre, I. G. Handel, B. M. Bronsvoort (2019) Endemic foot and mouth disease: in-herd disease dynamics. Scientific reports 9: 17349.
  • T. Porphyre & J.D. Grewar (2019) Assessing the potential of plains zebra to maintain African horse sickness in the Western Cape Province, South Africa. Plos One 14(10): e0222366.
  • T. Porphyre, K.M. Rich, H.K. Auty (2018) Assessing the economic impact of vaccine availability when controlling foot and mouth disease outbreaks. Frontiers in Veterinary Sciences 5:47.
  • P. Motta, I. Handel, G. Rydevik, S.H. Hamman, V. Ngu Ngwa, V. Tanya, K. Morgan, B.M. de C. Bronsvoort, T. Porphyre (2018) Drivers of live cattle price in the livestock trading system of Central Cameroon. Frontiers in Veterinary Sciences 4:244.
  • C. Guinat, T. Porphyre, A. Gogin, L. Dixon, D.U.Pfeiffer, S. Gubbins (2018) Inferring the within-herd transmission parameters for African swine fever virus using mortality data from outbreaks in the Russian Federation. Transboundary and Emerging Diseases 65(2): e264-e271
  • P. Motta, T. Porphyre, I. Handel, S.H. Hamman, V. Ngu Ngwa, V. Tanya, K. Morgan, R. Christley, B.M. de C. Bronsvoort (2017) Implications of the cattle trade network in Cameroon for regional disease prevention and control. Scientific reports 7:43932.
  • K. Gamado, G. Marion, T. Porphyre (2017) Data-driven risk assessment from small scale epidemics: Estimation and model choice for spatio-temporal data with application to a classical swine fever outbreak. Frontiers in Veterinary Sciences 4:16.
  • T. Porphyre, C. Correia-Gomes, M. E. Chase-Topping, K. Gamado, H.K. Auty, I. Hutchinson, A. Reeves, G.J. Gunn, M.E.J. Woolhouse (2017) Vulnerability of the British swine industry to classical swine fever. Scientific reports 7:42992.
  • EPIC: Centre of Expertise on Animal Disease Outbreaks