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Assumptions management in simulation of infectious disease outbreaks
Linköpings universitet, Institutionen för datavetenskap, MDALAB - Human Computer Interfaces. Linköpings universitet, Tekniska högskolan.
VSL Research Labs, Linköping.
Linköpings universitet, Institutionen för medicin och hälsa, Socialmedicin och folkhälsovetenskap. Linköpings universitet, Hälsouniversitetet.
VSL Research Labs, Linköping.
Vise andre og tillknytning
2009 (engelsk)Inngår i: AMIA ... Annual Symposium proceedings / AMIA Symposium, ISSN 1942-597X, Vol. 2009, s. 173-177Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
2009. Vol. 2009, s. 173-177
HSV kategori
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URN: urn:nbn:se:liu:diva-59563PubMedID: 20351844OAI: oai:DiVA.org:liu-59563DiVA, id: diva2:352508
Tilgjengelig fra: 2010-09-21 Laget: 2010-09-21 Sist oppdatert: 2018-01-12

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Eriksson, HenrikMorin, MagnusEkberg, JoakimJenvald, JohanTimpka, Toomas

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