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Health systems complexity

Understanding the interplay between physiological, mental and socio-economic factors that have an impact on health is crucial to find effective responses to major public health challenges. At the IAS we aim to develop predictive models for various health related questions, examining all aspects from the molecular level all the way up to the healthcare system.

Photo by Joel Filipe on Unsplash

Health and illness have causes beyond biology and behaviour. However, a systemic and systematic approach is still largely missing. To predict or evaluate the effect of health intervention, many interrelated factors (and the multi-scale and dynamic interplay between them) should be taken into account: from an individual’s genes, biology and behaviour, to the social and physical environment and medical care.

Supporting evidence-based interventions

This research theme adopts a system dynamics approach in order to develop predictive models that can run what/if explorations for various health and wellbeing related questions, on individual and population level. We validate these models using real-time data from healthcare and population health studies. Our overall objective is to support the identification, implementation, and evaluation of effective responses to major public health challenges.

To increase our understanding of the causal relations between all determinants that have an impact on health, this work requires integration of knowledge, data, concepts and theories from many disciplines, ranging from biology and medical sciences to psychology, sociology and economics.

prof. dr. A.P. (Anita) Hardon

Faculty of Social and Behavioural Sciences

Programme group: Anthropology of Health, Care and the Body