HEALTH INEQUALITY

We investigate the complex systems that generate health inequality across scales and time. We recognise that causal drivers of health inequality are multifaceted and dynamic, often involving cross-scale interactions that evolve over a lifetime. Our research spans biological vulnerability, family social conditions, neighbourhood factors, and environmental influences. In addition, we analyse how algorithmic clinical decision-making may introduce biases that lead to healthcare inequalities, and we explore the detrimental effects of precarious employment on vulnerable labour-market subgroups.