I am an ecologist trained in quantitative veterinary epidemiology. My research is focused on creating epidemiological information that can be used in the development and design of control and surveillance strategies against zoonotic and/or emerging pathogens circulating in vector and animal (livestock or wildlife) populations. This effort has centred on:
I previously worked at Massey University (New Zealand), at CIRAD/INRA in the Caribbean and at the Royal Veterinary College of London, where I developed various statistical and simulation models to better understand the ecology and epidemiology of various pathogen, vector species and disease reservoir species. I started at the University of Edinburgh in October 2011 and am a research fellow with EPIC. My work within EPIC is primarily in the evaluation of potential disease control strategies and policies for use in the event of an outbreak of an exotic animal disease like FMD or classical swine fever. I am currently a Co-coordinator of Topic 4 `Analyses of Potential Disease Control Options`.
I am also involved in numerous national and international collaborations, particularly working on developing models to inform control and preventive activities against disease such as African swine fever and dengue in Africa and South-east Asia, and highly pathogenic avian influenza in the USA.
I received a Master in Biological Modelling from Joseph Fournier University, Grenoble (France), a Post-Graduate Diploma in Preventive Veterinary Medicine and a PhD in Epidemiology from the Institute of Veterinary, Animal and Biomedical Sciences of Massey University (New Zealand).
Using machine learning improves predictions of herd-level bovine tuberculosis breakdowns in Great Britain K. Stański, S. Lycett, T. Porphyre & B. M. de C. Bronsvoort
Post-outbreak African horse sickness surveillance: A scenario tree evaluation in South Africa’s controlled area. John Grewar, Thibaud Porphyre, Evan Sergeant, Camilla Weyer and Peter Thompson
Uptake of diagnostic tests by livestock farmers: a stochastic game theory approach. S Mohr, R Beard, A Nisbet, S Burgess, R Reeve, M Denwood, T Porphyre, RN. Zadoks, L Matthews
Multilayer network analysis unravels haulage vehicles as a hidden threat to the British swine industry T Porphyre, BMC Bronsvoort, GJ Gunn, Carla Correia-Gomes
Assessing the Economic Impact of Vaccine Availability When Controlling Foot and Mouth Disease Outbreaks. T Porphyre, KM Rich, HK Auty
Inferring within‐herd transmission parameters for African swine fever virus using mortality data from outbreaks in the Russian Federation. C Guinat, T Porphyre, A Gogin, L Dixon, DU Pfeiffer, S Gubbins
Vulnerability of the British swine industry to classical swine fever. T Porphyre, C Correia-Gomes, ME Chase-Topping, K Gamado, HK Auty, I Hutchinson, A Reeves, GJ Gunn, MEJ Woolhouse
Using national movement databases to help inform responses to swine disease outbreaks in Scotland: the impact of uncertainty around incursion time. T Porphyre, LA Boden, C Correia-Gomes, HK Auty, GJ Gunn, MEJ Woolhouse
How commercial and non-commercial swine producers move pigs in Scotland: a detailed descriptive analysis. T Porphyre, LA Boden, C Correia-Gomes, HK Auty, GJ Gunn, MEJ Woolhouse
The performance of approximations of farm contiguity compared to contiguity defined using detailed geographical information in two sample areas in Scotland: implications for foot-and-mouth disease modelling. JS Flood, T Porphyre, MJ Tildesley, MEJ Woolhouse
Small-scale pig farmers’ behavior, silent release of African swine fever virus and consequences for disease spread. S Costard, FJ Zagmutt, T Porphyre, DU Pfeiffer
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