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On Understanding Catastrophe — The Case of Highly Severe Influenza-Like Illness
RISE, Swedish ICT, SICS. IAM.
Number of Authors: 1
2011 (English)Conference paper (Refereed)
Abstract [en]

Computational epidemiology is a form of spatiotemporal reasoning in which social link structures are employed, and spatially explicit models are specified and executed. We point to issues thus far addressed neither by engineers, nor scientists, in the light of a use case focusing on catastrophic scenarios that assume the emergence of a highly unlikely but lethal and contagious strain of influenza. Our conclusion is that important perspectives are missing when dealing with policy issues resulting from scenario execution and analyses in computational epidemiology.

Place, publisher, year, edition, pages
2011, 9.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-23821OAI: oai:DiVA.org:ri-23821DiVA: diva2:1042899
Conference
Link Analysis in Heterogeneous Networks
Projects
ASSETS
Available from: 2016-10-31 Created: 2016-10-31

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fulltext(85 kB)3 downloads
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File name FULLTEXT01.pdfFile size 85 kBChecksum SHA-512
5ad0491df318fc6d6bf8af5bf0a95c45261050cbc6db7df2b2e1bb3d1337bf6a2ca5e34f2c64a491a2b279b55bef868c6c4ec39a5736f0d86f00bbee3def0281
Type fulltextMimetype application/pdf

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