Population and Public Health Discovery Advisory Group

This advisory group covers applications that aim to understand the causes and consequences of health, wellbeing and disease in populations.

Research can employ any suitable study design and methods, including qualitative and/or quantitative methods and cross-sectional and longitudinal data collection and analysis.

Some examples of this are:

• primary or secondary data collection and analysis to enable epidemiological insights into the causes, consequences and mechanisms of health and disease
• social epidemiology, health inequalities and inequities, including structural and socioeconomic drivers within systems and services
• disease modelling and surveillance that generates new discovery insights into the distribution, burden and determinants of disease
• clinical and interventional studies with a clear discovery or methodological focus
• studies of health systems, including their organisation, performance, and governance, and studies of healthcare access and equity
• behavioural science and health psychology focused on improving understanding of health and disease or where research contributes to generating new insights into system design, policy, or service delivery
• methodological and tool development in population health including data linkage, statistical methods and conceptual frameworks that enable further discovery research