I am 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 Dr. Mike Tildesley and Professor 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.
Information on conferences I have attended can be found here.
Key topics of interest are:
- Mathematical epidemiology
- Control of infectious diseases
- Bayesian inference
- Public health
Previous and current work has undertaken problems in the following areas of mathematical epidemiology:
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.
I wrote an article on our work modelling the spread of mood in school friendship networks for "The Conversation", and the article "When it comes to mental health, parents shouldn’t worry who their children are friends with" can be found here.
- Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
Edward M. Hill, Stavros Petrou, Henry Forster, Simon de Lusignan, Ivelina Yonova, Matt J. Keeling (2020) PLoS Computational Biology 16(10): e1008278. doi:10.1371/journal.pcbi.1008278.
- Seasonal influenza: Modelling approaches to capture immunity propagation
Edward M. Hill, Stavros Petrou, Simon de Lusignan, Ivelina Yonova, Matt J. Keeling (2019)
PLoS Computational Biology 15(10): e1007096. doi:10.1371/journal.pcbi.1007096.
- Spatio-temporal modelling of Leishmania infantum infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil
- Elizabeth Buckingham-Jeffery∗, Edward M Hill∗, Samik Datta, Erin Dilger, Orin Courtenay (2019)
Parasites & Vectors 14:215. doi:10.1186/s13071-019-3430-y. (∗ denotes equal contributors)
- The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh
Edward M. Hill, Thomas House, Madhur S. Dhingra, Wantanee Kalpravidh, Subhash Morzaria, Muzaffar G. Osmani, Eric Brum, Mat Yamage, Md. A. Kalam, Diann J. Prosser, John Y. Takekawa, Xiangming Xiao, Marius Gilbert, Michael J. Tildesley (2018)
PLoS Computational Biology 14(9):e1006439. doi:10.1371/journal.pcbi.1006439.
- Spreading of components of mood in adolescent social networks
Robert W. Eyre, Thomas House, Edward M. Hill, Frances E. Griffiths (2017)
Royal Society Open Science, 4:170336. doi:10.1098/rsos.170336
- Modelling H5N1 in Bangladesh across spatial scales: Model complexity and zoonotic transmission risk
Edward M. Hill, Thomas House, Madhur S. Dhingra, Wantanee Kalpravidh, Subhash Morzaria, Muzaffar G. Osmani, Mat Yamage, Xiangming Xiao, Marius Gilbert, Michael J. Tildesley (2017)
Epidemics, 20C:37-55. doi:10.1016/j.epidem.2017.02.007.
- Evidence for history-dependence of influenza pandemic emergence
Edward M. Hill, Michael J. Tildesley and Thomas House (2017)
Scientific Reports, 7:43623. doi:10.1038/srep43623.
Proceedings of the Royal Society B, 282(1813). doi:10.1098/rspb.2015.1180.
- Modelling the Spread of Mood. In: Mood: Interdisciplinary Perspectives, New Theories.
Edward M. Hill and Thomas House (2019) pp. 87-108.
Volume editors: Birgit Breidenbach and Thomas Docherty. doi:10.4324/9780429259432
- A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2
Edward M. Hill, Benjamin D. Atkins, Matt J. Keeling, Louise Dyson, Michael J Tildesley. (2020)
- Modelling SARS-CoV-2 transmission in a UK university setting
Edward M. Hill, Benjamin D. Atkins, Matt J. Keeling, Michael J Tildesley, Louise Dyson. (2020)
- Precautionary breaks: planned, limited duration circuit breaks to control the prevalence of COVID-19
Matt J. Keeling, , , Louise Dyson, Michael J Tildesley, Edward M. Hill, Graham F Medley. (2020)
- Modelling optimal vaccination strategy for SARS-CoV-2 in the UK.
Sam Moore, Edward M. Hill, Louise Dyson, Michael J Tildesley, Matt J. Keeling. (2020)
- Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number.
Matt J. Keeling, , , Malcolm G Semple, ISARIC4C Investigators, , Edward M. Hill. (2020)
- The impact of school reopening on the spread of COIVD-19 in England.
Matt J. Keeling, , Benjamin D. Atkins, , Emma Southall, , , , , Edward M. Hill, (2020)
- Predictions of COVID-19 dynamics in the UK: short-term forecasting and analysis of potential exit strategies.
Matt J. Keeling, Edward M. Hill, , , , , , , , (2020)