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Ontology Based Modeling of Pandemic Simulation Scenarios
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Henrik Eriksson
Magnus Morin
Johan Jenvald
Elin Gursky
Einar Holm
Toomas Timpka
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Computer-based simulation of influenza outbreaks in local communities
can help researchers, epidemiologists, and deci-sion makers better
understand the impact of the community structure on the reproduction
rate of disease and the relative benefits of different types of
prevention and interventions. The goal of scenario modeling is to
develop a description of scenario components, such as the disease,
community, and inter-vention models. An ontology-based representation of
the sce-nario model together with a modeling tool, which is based on an
extension to Protégé, assist scenario developers in formu-ating
simulation specifications. This approach allows the exploration of new
ideas by rapidly formulating and reconstructing scenarios from novel
components.
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