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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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creator | Bicher, Martin Urach, Christoph Popper, Niki |
description | 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. |
doi_str_mv | 10.1109/WSC.2018.8632170 |
format | conference_proceeding |
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identifier | EISSN: 1558-4305 |
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issn | 1558-4305 |
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source | IEEE Xplore All Conference Series |
subjects | Computational modeling Data models Mathematical model Object oriented modeling Predictive models Sociology Statistics |
title | GEPOC ABM: A GENERIC AGENT-BASED POPULATION MODEL FOR AUSTRIA |
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