Research
Two strands of work: a PhD project on the behavioural drivers of epidemic dynamics, and, part-time, the economic evaluation of blood-borne virus screening.
Interests
- Infectious disease modelling
- Machine learning
- Social contact, mobility and attitude data
- Economic evaluation
PhD project
Behavioural drivers of epidemic dynamics
Social contact, mobility and attitude data carry signal about how people actually behave during an outbreak — who mixes with whom, how that changes under pressure, and how quickly it reverts. The question is whether that signal can be used not just to explain epidemic dynamics after the fact, but to help anticipate them.
Alongside it
Economic evaluation of blood-borne virus screening
An NIHR-funded project on the cost-effectiveness of blood-borne virus testing interventions: hepatitis B progression modelling for emergency department opt-out testing; TB IGRA testing in high-risk groups; and micro-costing of digitally enhanced testing.
Earlier work
Vaccine responses and vaccine equity
Finished work: machine learning to understand vaccine responses to influenza, and modelling of vaccine equity and trachoma resurgence.
Collaborations
A few groups I work with on the above.
- University of Bristol — Mathematical modelling team, on cost-effectiveness of emergency department blood-borne virus opt-out testing.
- University of Leicester — GPs and clinical staff, who help with data, interviews and costing questions for the blood-borne virus work.
- UK Health Security Agency (UKHSA) — Mainly on the PhD, on the policy-relevant side; also a data source for the blood-borne virus work.