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To develop public health intervention models using microsimulations,extensive personal information about inhabitants is needed, such associo-demographic, economic and health figures. Data confidentiality is anessential characteristic of such data, while the data should support realisticscenarios. Collection of such data is possible only in secured environments andnot directly available for external micro-simulation models. The aim of thispaper is to illustrate a method for construction of synthetic data bypredicting individual features through models based on confidential data onhealth and socio-economic determinants of the entire Dutch population.

Constructing synthetic populations in the age of big data