Name
Abstract | ||
|---|---|---|
Since 2015 researchers in Austrian health-care research project DEXHELPP (Decision Support for Health Policy and Planning) benefit from having access to a validated generic agent-based population model (GEPOC ABM) of Austria's population. This simulation model delivers a valid virtual image of Austria's population and is also able to make feasible prognoses. During the last years the model has been extended, remodeled and applied to several use-cases. We were able to add aspects like vaccination strategies, treatment pathways or spread of infectious diseases which underlines the flexibility of the implementation. Yet, a number of challenges have been identified, being the basis to contribute to the general discussion of population models. We will discuss evolving challenges according performance issues and present a newly implemented time-update approach. Thereafter we will discuss different parametrization concepts when adding a disease model. Finally we will present how we integrated GIS information based on Delauney Triangulation.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/WSC.2018.8632170 | WSC |
Field | DocType | ISSN |
Object-oriented modeling,Virtual image,Population,Data modeling,Systems engineering,Computer science,Decision support system,Risk analysis (engineering),Health policy,Population model | Conference | 0891-7736 |
ISBN | Citations | PageRank |
978-1-5386-6570 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Bicher | 1 | 1 | 2.07 |
| Urach, C. | 2 | 0 | 2.03 |
| Niki Popper | 3 | 8 | 3.34 |