Global Health

The Centre for Global Health has three key themes:

Systems epidemiology - generating novel data.

We take a systems epidemiology approach to identify molecular drivers and metabolic pathways central to health and to the development of common diseases for informing disease prevention and development of new treatment approaches in the UK and globally. This includes exposure measurement at individual level (e.g. omics, clinical risk factors), population level (e.g. sociodemographic), and biological agent (i.e. pathogen), followed by network analyses of inter-relationships among risk factors, computational simulation of risk scenarios and data-driven biostatistical risk prediction modelling.

Evidence synthesis and data modelling - assembling and analysing existing data.

We have substantial expertise in evidence analytics. This includes evidence synthesis, complex data analysis and modelling which informs the development of priority setting matrices, the development of burden of disease estimates for influencing local, regional and global health policy, and informing UK and global policy-makers for health and social care decision making. 

Translation of evidence – influencing policy for improved global public and planetary health.

We are committed to sustainably implementing feasible, and locally acceptable solutions in equitable partnership with stakeholders from across the world to achieve meaningful long-term impact through implementation and delivery research, community engagement and involvement and local capacity building.