GEPOC ABM: A GENERIC AGENT-BASED POPULATION MODEL FOR AUSTRIA

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...

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Bibliographic Details
Main Authors: Bicher, Martin, Urach, Christoph, Popper, Niki
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Data models
Mathematical model
Object oriented modeling
Predictive models
Sociology
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Summary: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.
ISSN:1558-4305
DOI:10.1109/WSC.2018.8632170