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.
– Journal of Theoretical Biology
(2022)
557,
111332
(doi: 10.1016/j.jtbi.2022.111332)
Applying optimal control theory to complex epidemiological models to inform real-world disease management
(2019)
(doi: 10.1101/405746)
Resource Allocation for Epidemic Control Across Multiple Sub-populations
– Bull Math Biol
(2019)
81,
1731
(doi: 10.1007/s11538-019-00584-2)
Applying optimal control theory to complex epidemiological models to inform real-world disease management
– Philosophical transactions of the Royal Society of London. Series B, Biological sciences
(2018)
374,
20180284
(doi: 10.1098/rstb.2018.0284)
What a difference a stochastic process makes: Epidemiological-based real options models of optimal treatment of disease
– Environ Resour Econ (Dordr)
(2017)
70,
691
(doi: 10.1007/s10640-017-0168-x)
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
– Sexually Transmitted Infections
(2015)
91,
a152.2
Integrating stochasticity and network structure into an epidemic model
– Journal of the Royal Society, Interface
(2008)
6,
761
(doi: 10.1098/rsif.2008.0410)