Toward hybrid simulations for care demand forecasting

Demographic change leads to an increasing demand of health care services. To provide the required services at the right locations, methods for forecasting future demands are needed. The goal of this research is to combine two different simulation techniques to forecast future care service demands. On the one hand, forecasts of demographic change are required. On the other hand, a plausible forecast must account for individual decisions for specific types of care. Thus, the paper outlines an approach to combine statistical micro-simulation of demographic change with agent-based social simulation of individual interactions.