NEWS: New version of our simSALUD web-application is out now (http://www.simsalud.org/simulation/).
SALUD (SpatiAL microsimUlation for Decision support) is a research project funded by the Federal Ministry for Transport, Innovation and Technology (bmvit) and the Austrian Science Fund (FWF). The main aim of SALUD is to model health related issues for small areas using spatial microsimulation modelling to simulate information where no data exists or is accessible. We will investigate a deterministic reweighting approach where spatial and aspatial datasets will be combined to build individual based large scale datasets. The results will be especially valuable to support policy decision makers to distribute their resources more efficiently and to reduce health inequalities.
- Deterministic spatial microsimulation model (simSALUD) to simulate small area health related issues
- Development of a flexible open Web-based application where simSALUD is integrated
- Applying U.K. datasets to simSALUD to explore differences for modeling the same issues, e.g. investigate different data compositions
- Exploring different validation methods
- Optimization of the model and validation method
- Integration of geoprocessing and visualization tools within simSALUD
- Dissemination of results through conferences and publications
In Austria, spatial microsimulation models for health decision-making can make a major contribution to policy analysis as these models are not widely established and distributed yet, especially not in Austria. One powerful advantage of spatial microsimulation is the possibility to model various what-if scenarios, which allows policy makers to explore the impact that certain policies would have on certain population groups, for example
- where to distribute quit smoking information packages to reach people most in need?
- which population groups are most affected by increasing cigarette prices and where do these people live?
- where are people most disadvantaged in accessing daily fresh fruits and vegetables for an affordable price?
For modelling health related issues, our partners from the health departments will provide valuable input, as do the international partners related to the modelling process.