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Dr Ed Hill


I am a post-doctoral researcher working in the Mathematics Institute, and a member of the Zeeman Institute: Systems Biology & Infectious Disease Epidemiology Research (SBIDER) group. I am working with Mike Tildesley and Matt Keeling on modelling the spread of disease (further details below), as well as collaborating with other members of the Life Sciences, Mathematics and Medical School departments.

I am also a member of JUNIPER (Joint UNIversities Pandemic and Epidemiological Research), a consortium of epidemiological modelling groups from eight universities: Bristol, Cambridge, Exeter, Lancaster, London School of Hygiene and Tropical Medicine (LSHTM), Manchester, Oxford and Warwick. The JUNIPER consortium is funded by UK Research and Innovation (UKRI). JUNIPER aims to embed scientific activities within an open and collaborative framework (including public outreach so that scientific assumptions and findings are effectively communicated), build national capacity and contribute to training the next generation of applied epidemiological modellers.

Research Interests

Key topics of interest are:

  • Mathematical epidemiology
  • Control of infectious diseases
  • Bayesian inference
  • Public health

Research Profle

Previous and current work has undertaken problems in the following areas of mathematical epidemiology:

COVID-19 pandemic: Using real time data on the UK COVID-19 outbreak to provide robust predictions, gauging the ability of a model to predict future epidemic behaviour.
Livestock infection modelling: Predicting the differences between national-level and farmer-level optimisation of controls using mathematical models that combine disease spread and farmer behaviour.
Human disease modelling: Mathematical modelling and analysis of seasonal influenza to underpin vaccination policy for the Department of Health.
Zoonotic disease modelling: Influenza inhabits many hosts and has many strains, but there is a worrying gap in the modelling of spillover transmission from animals to humans. Looking at addressing the lack of established modelling tools that represent this interface, with the applied aim of aiding the design and performance assessment of control strategies for influenza among livestock and across the animal-human interface.

Social contagion: Spread of behaviour-linked health problems are amenable to being represented with methodological approaches typically used to model infectious diseases. We explore this with regards to depression, developing novel models that exploit the dynamical behaviour of mood over time to ascertain which mood states spread on social networks, via a contagion-like mechanism, and which do not.

Preprints and publications: See

Conferences and Scientific Meetings: See

Professional activities: See

Public engagement: See

Media Coverage: See



Edward dot Hill at warwick dot ac dot uk


Room 5.14
Mathematical Sciences Building
University of Warwick


Personal webpage

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Research Gate