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Faculty of Mathematics

 

Publications

Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK
CE Dangerfield, I David Abrahams, C Budd, M Butchers, ME Cates, AR Champneys, CSM Currie, J Enright, JR Gog, A Goriely, T Déirdre Hollingsworth, RB Hoyle, Ini Professional Services, V Isham, J Jordan, MH Kaouri, K Kavoussanakis, J Leeks, PK Maini, C Marr, C Merritt, D Mollison, S Ray, RN Thompson, A Wakefield et al.
– J Theor Biol
(2022)
557,
111332
Applying optimal control theory to complex epidemiological models to inform real-world disease management
EH Bussell, CE Dangerfield, CA Gilligan, NJ Cunniffe
(2019)
Resource Allocation for Epidemic Control Across Multiple Sub-populations
CE Dangerfield, M Vyska, CA Gilligan
– Bull Math Biol
(2019)
81,
1731
Applying optimal control theory to complex epidemiological models to inform real-world disease management.
EH Bussell, CE Dangerfield, CA Gilligan, NJ Cunniffe
– Philosophical Transactions of the Royal Society B: Biological Sciences
(2018)
374,
20180284
What a difference a stochastic process makes: Epidemiological-based real options models of optimal treatment of disease
CE Dangerfield, CA Gilligan, AE Whalley, N Hanley
– Environmental and Resource Economics
(2017)
70,
1
P09.13 Impact and cost-effectiveness of point-of-care testing for chlamydia: accounting for geographic variation in infection burden and testing rates, health service configuration, and implementation strategy
CE Dangerfield, E Sherrard-Smith, N Green, E Harding-Esch, R Howell-Jones, Y Choi, CM Lowndes, PJ White
– Sexually Transmitted Infections
(2015)
91,
A152
Integrating stochasticity and network structure into an epidemic model.
CE Dangerfield, JV Ross, MJ Keeling
– Journal of The Royal Society Interface
(2008)
6,
761

Research Group

Department Staff

Room

G1.05

Telephone

01223 337877