Change search
ReferencesLink to record
Permanent link

Direct link
On Understanding Catastrophe — The Case of Highly Severe Influenza-Like Illness
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
URN: urn:nbn:se:ri:diva-16136OAI: diva2:1038160
Link Analysis in Heterogeneous Networks
Available from: 2016-10-18 Created: 2016-10-18

Open Access in DiVA

fulltext(85 kB)4 downloads
File information
File name FULLTEXT01.pdfFile size 85 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links


Search in DiVA

By author/editor
Boman, Magnus
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 4 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link