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On Understanding Catastrophe — The Case of Highly Severe Influenza-Like Illness
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0001-7949-1815
2011 (English)Conference paper, Published 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 Sciences
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 Last updated: 2018-01-17Bibliographically approved

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fulltext(85 kB)8 downloads
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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