The COVID-19 pandemic has brought to the forefront the importance of epidemiological models of disease and has highlighted the power these models have to shape policy decisions and influence community outcomes. The Infection Epidemiology and Policy Analytics group uses multi-scale mathematical modelling to investigate the spread of infectious disease, focusing on disease spread both within a population and within an infected individual. We use our models to predict the projected impact of specific interventions (such as vaccination, isolation, social distancing etc) on disease transmission and burden. These predictions are used to advise on disease associated policy decisions.
Infection Epidemiology and Policy Analytics Group
Group leader
