Ontology Based Modeling of Pandemic Simulation Scenarios

Authors

Henrik Eriksson, Magnus Morin, Johan Jenvald, Elin Gursky, Einar Holm, Toomas Timpka

Abstract

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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