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Assumptions management in simulation of infectious disease outbreaks
Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
VSL Research Labs, Linköping.
Linköping University, Department of Medicine and Health Sciences, Division of Preventive and Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences.
VSL Research Labs, Linköping.
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2009 (English)In: AMIA ... Annual Symposium proceedings / AMIA Symposium, ISSN 1942-597X, Vol. 2009, 173-177 p.Article in journal (Refereed) Published
Abstract [en]

Simulation of outbreaks of infectious disease is an important tool for understanding the dynamics of the outbreak process, the impact of disease and population properties, and the potential effect of interventions. However, the interpretation of the simulation results requires a clear understanding of the assumptions made in the underlying model. Typical simulation tasks, such as exploring the space of different scenarios for population and disease properties, require multiple runs with varying model parameters. For such complex tasks, the management of the assumptions made becomes a daunting and potentially error-prone undertaking. We report explicit assumptions management as an approach to capture, model, and document the assumptions for simulator runs. It was found possible to extend ontology-based simulation, which uses an ontological model to parameterize the simulator, to incorporate an assumptions model in the ontology. We conclude that explicit assumptions modeling should be part of any infectious disease simulation architecture from start.

Place, publisher, year, edition, pages
2009. Vol. 2009, 173-177 p.
National Category
Computer and Information Science
URN: urn:nbn:se:liu:diva-59563PubMedID: 20351844OAI: diva2:352508
Available from: 2010-09-21 Created: 2010-09-21 Last updated: 2013-09-05

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Eriksson, HenrikMorin, MagnusEkberg, JoakimJenvald, JohanTimpka, Toomas
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MDALAB - Human Computer InterfacesThe Institute of TechnologyDivision of Preventive and Social Medicine and Public Health ScienceFaculty of Health SciencesCentre for Public Health Sciences
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