UK - France Workshop 2025

Announcement: 2025 ModStatSAP Workshop

In 2025, the ModStatSAP network will have the pleasure of welcoming British colleagues to a joint workshop. The programme will feature oral presentations, a poster session, a panel discussion, and group discussions on potential future collaborative initiatives between the French and British modelling communities.

While the interface between modelling and policy will be a central theme throughout the workshop, we invite contributions on any aspect of mathematical and statistical modelling applied to plant and animal pathogens.

Dates and Location

Dates: 21–22 October 2025

Location: Institut des Systèmes Complexes (ISC-PIF), Auditorium, 113 rue Nationale, 75013 Paris. The venue is accessible via Metro Line 6 (Nationale station, direct from Gare Montparnasse) or Metro Line 14 (Olympiades station, direct from Gare de Lyon), followed by a 5–10 minute walk.

Funding

Attendance at the workshop is free of charge. A limited budget is available to subsidise participation for some attendees. Subsidies will be granted on a first-come, first-served basis, within the constraints of available funds.

Registration

Closed

Preliminary Schedule

Tuesday, 21 October

  • 10:30–11:15 – Registration & Coffee
  • 11:15–11:20 – Workshop introduction
  • 11:20–12:00 – Invited talk by S. Lambert (ENVT-INRAE) - TBA
  • 12:00–12:20S. Gubbins (The Pirbright Institute) - Spread of bluetongue and its control in Great Britain: a personal view of a decade using models for policy advice
  • 12:20–12:40G. Thébaud (INRAE PHIM) - Estimation of reproduction numbers of sharka epidemics with and without disease control
  • 12:40–13:00O. Restif (University of Cambridge) - Inferring henipavirus transmission dynamics in bat populations from field data
  • 13:00–14:00 – Lunch & Posters
  • 14:00–14:40 – Invited talk by C. Dupuy (ANSES-ESA) and L. Michel (INRAE-ESV) - The animal and plant health epidemiological surveillance platforms in France
  • 14:40–15:00A. Benard (INRAE BioSP) - Best of Both Worlds? Integrating Standardized and Opportunistic Data for Predictive Modelling of Plant Pathogen Distributions
  • 15:00–15:20J. Koh (University of Warwick) - Assessing Delimiting Strategies to Identify the Infested Zones of Quarantine Plant Pests and Diseases
  • 15:20–16:00 – Invited talk by E. Brooks Pollock (University of Bristol) - Mechanistic modelling to inform animal health decision-making
  • 16:00–16:40 – Coffee Break
  • 16:40–17:20 – Invited talk by C. Gilligan (University of Cambridge) - TBA
  • 17:20–18:00 – Panel discussion - Epidemiological modelling to inform policy
  • 18:00–21:00 – Posters & Buffet

Wednesday, 22 October

  • 08:45–09:00 – Registration & Coffee
  • 09:00–09:40 – Invited talk by J. Illian (University of Glasgow) - Efficient spatio-temporal modelling in practice
  • 09:40–10:00C. Jewel (Lancaster University) - Gemlib: a composable toolkit for probabilistic infectious disease models
  • 10:00–10:40 – Coffee Break
  • 10:40–11:20 – Invited talk by S. Soubeyrand (INRAE BioSP) - TBA
  • 11:20–11:40A. Apolloni (ANSES EPISABE) - Improving the surveillance system of Peste des petits ruminants (PPR) in Nigeria, using network tools to describe disease propagation and estimate the effect of missing information
  • 11:40–12:00H. Cecilia (INRAE BIOEPAR) - The Modeling in Animal Health consortium (ModAH-Hub)
  • 12:00–13:00 – Group Discussion
  • 13:00–14:00 – Lunch

Posters List

  • Basak, S. (INRAE SAVE) – Epidemiological Modeling of Resistance Deployment Scenarios Against Flavescence Dorée
  • Bastard, J. (ANSES LSV) – Unravelling absence of circulation and absence of detection of a zoonotic pathogen: a spatio-temporal occupancy modelling approach
  • Bosse, P. (INRAE Maiage) – TBA
  • Catterall, S. (Biomathematics and Statistics Scotland) – Modelling disease spread when the populations at risk are poorly mapped
  • Monaury, C. (Institut agro de Rennes-Angers, IGEPP) – Individual behavior can challenge the management of virulence
  • Coleman, M. (Animal and Plant Health Agency, Department of Epidemiological Sciences) – Operational use of models for Animal Health – Building tools to provide evidence for policy advice
  • Dubois, R. (INRAE IGEPP) – Quantification de la sévérité des maladies des plantes par analyses d'images
  • Ettahri, S. (INRAE BIOEPAR - ANSES EPISABE) – The Porcine Reproductive and Respiratory Syndrome virus transmission parameters: a systematic review and a deterministic MSEIR-type modeling
  • Eze, J. (SRUC, Centre for Epidemiology and Planetary Health - School of Veterinary Medicine) – Epidemic and endemic components of cryptosporidiosis cases: accounting for spatiotemporal dependencies
  • Hayes, B. (Université de Toulouse-INRAE-ENVT IHAP) – From production cycles to policy: Assessing biosecurity interventions against H5N8 HPAI transmission dynamics in poultry farms in Southwest France, 2020–2021
  • Knight, M. (Biomathematics and Statistics Scotland) – Large-scale modelling: Agent-based modelling of behavioural responses to disease interventions: an application to the Scottish cattle trade industry
  • Martinez, C. (INRAE Écodéveloppement) – Multiscale spatio-temporal model averaging: a new approach applied to epidemic dynamics
  • Pinotti, F. (INRAE EPIA) – Simulation-based inference of epidemic and phylodynamic models via neural posterior estimation
  • Reype, C. (INRAE Abeilles et Environnement) – A strategy to help beekeepers choose breeder colonies using vine copulas
  • Rimbaud, L. (INRAE Pathologie végétale) – Can pesticide applications to control black sigatoka of banana be reduced thanks to spatiotemporal strategies or economic incentives?
  • Saldaña, F. (INRAE BIOEPAR) – Exploring the Impact of Dose-Dependent Transmission in Multiscale Models of Arboviral Transmission
  • Sun, H. (INRAE URZF) – How to eradicate an invasive forest pest without clear-cutting
  • Thébaud, G. (INRAE PHIM) – The private management of plant disease epidemics: Infection levels and social inefficiencies

Participants List

  • Adamczyk, Katarzyna – INRAE, MathNum
  • Andraud, Mathieu – ANSES, EPISABE
  • Apolloni, Andrea – ANSES, EPISABE
  • Arnoux, Sandie – INRAE, BIOEPAR
  • Basak, Subhasish – INRAE, SAVE
  • Bastard, Jonathan – ANSES, Laboratory for Animal Health
  • Benard, Annaelle – INRAE, BioSP
  • Benoit, Durand – ANSES, EPIMIM
  • Boixel, Anne Lise – INRAE, BIOGER
  • Bosse, Paul – INRAE, Maiage
  • Bousset, Lydia – INRAE, SPE
  • Brooks Pollock, Ellen – University of Bristol, Population Health Sciences
  • Carpentier, Florence – AgroParistech, Maiage
  • Catterall, Stephen – Biomathematics and Statistics Scotland
  • Cecilia, Hélène – INRAE, BIOEPAR
  • Chen, Mathilde – Cirad, PHIM
  • Coleman, Matthew – Animal and Plant Health Agency, Department of Epidemiological Sciences
  • Conlan, Andrew – University of Cambridge, Disease Dynamics Unit, Department of Veterinary Medicine
  • Dubois, Romane – INRAE, IGEPP
  • Dupuy, Céline – ANSES, EAS-Plateforme ESA
  • Ettahri, Salma – INRAE-ANSES-University of Rennes, Bioepar for INRAE and Episabe in Anses
  • Eze, Jude – SRUC, Centre for Epidemiology and Planetary Health (CEPH), School of Veterinary Medicine
  • Fabre, Fred – INRAE, UMR SAVE
  • Fotso Fotso, Yves– INRAE, IGEPP
  • Fournié, Guillaume – INRAE, EPIA
  • Gilligan, Christopher – University of Cambridge
  • Gubbins, Simon – The Pirbright Institute, Transmission Biology
  • Guillaumin, Manon – INRAE Nantes, BIOEPAR
  • Hadley, Liza – University of Colorado Boulder / University of Cambridge, Department of Computer Science / Department of Veterinary Medicine
  • Hayes, Brandon – Université de Toulouse-INRAE-ENVT, UMR 1225 IHAP
  • Henriot, Paul – INRAE, EPIA
  • Hoch, Thierry – INRAE, UMR BIOEPAR / Animal Health
  • Hoscheit, Patrick – INRAE, MaIAGE, MathNum
  • Illian, Janine – University of Glasgow, School of Mathematics and Statistics
  • Jewell, Chris – Lancaster University, School of Mathematical Sciences
  • Kao, Rowland – University of Edinburgh, Roslin Institute and School of Physics and Astronomy
  • Knight, Martin – Biomathematics and Statistics Scotland, Large-scale modelling
  • Koh, Jun Min Joshua – University of Warwick, School of Life Sciences
  • Lambert, Sébastien – ENVT-INRAE, IHAP (Département Santé Animale)
  • Leclerc, Melen – INRAE, IGEPP
  • Marjou, Marine – INRAE, BioSP
  • Martinez, César – INRAE, Écodéveloppement
  • Michel, Lucie – INRAE, BioSP
  • Monaury, Clément – Institut Agro de Rennes-Angers, IGEPP
  • Parnell, Stephen – University of Warwick, School of Life Sciences
  • Pinotti, Francesco – INRAE, EPIA
  • Porphyre, Thibaud – VetAgro Sup, Laboratoire de Biométrie et Biologie Evolutive
  • Restif, Olivier – University of Cambridge, Veterinary Medicine
  • Reype, Christophe – INRAE, Abeilles et Environnement
  • Rimbaud, Loup – INRAE, Pathologie végétale
  • Roustit, Manon – INRAE, BIOEPAR
  • Saldaña, Fernando – INRAE, BIOEPAR
  • Soubeyrand, Samuel – INRAE, BioSP
  • Sun, Hongyu – INRAE, URZF
  • Thébaud, Gaël – INRAE, PHIM
  • Thébault, Anne – ANSES
  • Touzeau, Suzanne – INRAE, ISA / MathNum