Mathematical modelling is a key tool for understanding the health burden of disease, and for guiding disease control including evaluating the most efficient approaches. In our school, mathematical modelling research is mostly applied in the context of infectious diseases. This includes predicting the impacts of preventive interventions such as vaccination and informs real-time decision support in the face of pandemic threats such as COVID-19.
Our goals
Through engagement with policy makers, clinicians, patient groups and other researchers, we promote multi-disciplinary research that improves health, healthcare and wellbeing, and health-decision-making.
Our expertise
We specialise in a broad range of cutting-edge tools and techniques including epidemiological models, epidemiological analysis, and operations research techniques. We apply these tools and techniques across a range of research areas, such as:
- Applying mathematical models of COVID-19 transmission and the effect of outbreak responses and movement restrictions.
- Providing early warnings of new COVID-19 waves.
- Informing the design, implementation, and effectiveness of population health interventions for respiratory pathogens.
- Modelling the impact of novel population interventions on sexually transmitted infections.
- Developing new health inequity measures based on big data.
- Evaluating the burden distribution across population groups.
- Examining effective health systems design, operation, and performance under normal and surge/stress situations.
