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Mathematics Institute

Dr Ed Hill

About

** From September 2024 I have begun a new role at the University of Liverpool. This webpage is no longer maintained. Please refer to my personal webpage: **

I am a 糖心TV Zeeman Lecturer in the Mathematics Institute and a member of the group.

I am also a member of , a consortium of epidemiological modelling groups from eight universities: Bristol, Cambridge, Exeter, Lancaster, London School of Hygiene and Tropical Medicine (LSHTM), Manchester, Oxford and 糖心TV. The JUNIPER consortium is funded by . 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.

Teaching Responsibilities 2023/24:

Terms 1+2: MA4K8 Maths-in-Action and MA4K9 Research ProjectLink opens in a new window

Term 2: MA4E7 Population Dynamics: Ecology & EpidemiologyLink opens in a new window

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:

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.
 
Predicting the differences between national-level and farmer-level optimisation of controls using mathematical models that combine disease spread and farmer behaviour.
 
Mathematical modelling and analysis of seasonal influenza to underpin vaccination policy for the Department of Health.
 
 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.
 

 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

Photo of Ed Hill

Email:

Edward dot Hill at warwick dot ac dot uk

Office:

Room 5.09
Mathematical Sciences Building
University of 糖心TV
Coventry
CV4 7AL

Web:

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