Environmental Modelling meets Infectious Diseases

We are delighted to announce the upcoming workshop Environmental Modelling meets Infectious Diseases: from Mathematics to Applications hosted at the University of Warwick, supported by the Centre for Research in Statistical Methodology (CRiSM), the London Mathematical Society, and the Environmental Statistics Section of the Royal Statistical Society.

Overview

The workshop aims to promote the transfer of methods and ideas between the environmental modelling and infectious disease modelling communities. By discussing the common mathematical challenges that underpin both subjects, we hope that attendees will gain new tools and perspectives to advance their own research.

The conference takes place from 16-17 April 2026 at the University of Warwick, in Coventry.

You can register for the conference at the registration page up to the 1st of April or until the event reaches capacity. Registration is free of charge.

Invited speakers

Prof. Marta Blangiardo

School of Public Health, Imperial College London

Dr Hannah Christensen

Department of Physics, University of Oxford

Prof. Sophie Dabo-Niang

University of Lille

Dr William Thurston

Met Office

Dr Claudio Fronterre

University of Birmingham

Dr Jill Johnson

School of Mathematical and Physical Sciences, University of Sheffield

Dr TJ McKinley

Clinical and Biomedical Sciences, University of Exeter

Dr Ben Swallow

University of St Andrews

Schedule

All events will take place in the Zeeman building. Details of how to find this are included on the Practicalities page.

Thursday 16 April (Modeling)	Location	Event
10:30-11:00	Zeeman "Street"	Arrival and coffee
11:00-11:45	MS.03	Hannah Christensen From Equations to Emulators: AI in Earth-System ModellingLink opens in a new window
11:45-12:30	MS.03	Marta Blangiardo Bayesian Models of Environmental and Climate Change Impact on Dengue Dynamics in BrazilLink opens in a new window
12:30-1:30	Zeeman "Street"	Lunch
1:30-2:15	MS.03	Samana Bano MultiYear Bayesian Disaggregation of PolygonLevel InfectiousDisease Data with Satellite CovariatesLink opens in a new window Olukemi Olowofoyeku Disaggregation MaxEnt-based Nonlinear Regression Disease-Risk MappingLink opens in a new window
2:15-3:00	MS.03	Panel
3:00-3:30	Zeeman "Street"	Coffee
3:30-4:15	MS.03	Sophie Dabo-Niang Modeling Multi-Pollutant Environmental Exposure Using a Spatio-Functional FrameworkLink opens in a new window
4:15-5:00	MS.03	William Thurston Atmospheric dispersion modelling and its application to windborne pathogen spreadLink opens in a new window
5:00-6:00	Zeeman "Street"	Poster session
6:30		Dinner for speakers
Friday 17 April (Calibration)
9:00-9:45	MS.03	Ben Swallow Statistical inference in dynamic environmental and infectious disease systems: common challenges in observation, statistics and computation?Link opens in a new window
9:45-10:30	MS.03	Jill Johnson The statistical challenges in tackling persistent climate model uncertainty through model-observation comparisonsLink opens in a new window
10:30-11:00	Zeeman "Street"	Coffee
11:00-11:45	MS.03	Jonathan Owen Bayesian History Matching and Uncertainty Analysis in Atmospheric ModellingLink opens in a new window Aabid Anas & Miqdad Arrazi Quasi-Bayes for spatio-temporal prediction: Weather forecasting to Stock market predictionLink opens in a new window
11:45-12:30	MS.03	Panel
12:30-1:30	Zeeman "Street"	Lunch
1:30-2:15	MS.03	Claudio Fronterre Modelling Spatio-Temporal Variation in Neglected Tropical Disease Prevalence under Mass Drug Administration: A Geostatistical ApproachLink opens in a new window
2:15-3:00	MS.03	TJ McKinley Efficient Bayesian modelling of infectious diseases in wildlife: an application to bovine tuberculosis in wild badgersLink opens in a new window
3:00-3:30	Zeeman "Street"	Closing remarks and coffee

Organisers

Emma Davis, Richard Everitt, John Fernley, Alicia Gill, Laura Mansfield, Jia Le Tan, Kathrin Schutrumpf.