III.A Health Intervention modelling with AMB

In this project, we aim to achieve a better understanding of the health impact of interventions over large populations by developing and applying cutting-edge computer simulation and testing strategies for changing the built, social, physico-chemical and lifestyle/food environment.
 

Publications

Validating and constructing behavioral models for simulation and projection using automated knowledge extraction

Tabea S. Sonnenschein, G. Ardine de Wit, Nicolette R. den Braver, Roel C.H. Vermeulen, Simon Scheider
Information Sciences Volume 662 (2024)

Agent-based Modeling of Urban Exposome Interventions: Prospects, Model Architectures and Methodological Challenges

Tabea Sonnenschein, Simon Scheider, G Ardine de Wit, Cathryn C Tonne, Roel Vermeulen
Exposome, Volume 2

Decoding the exposome

Decoding the exposome

The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...

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