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Model versions and fast algorithms for network epidemiology
Dept. of Energy Science,Sungkyunkwan University,Suwon 440-746,Korea. (IceLab)ORCID iD: 0000-0003-2156-1096
2014 (English)In: Journal of Logistical Engineering University, ISSN 1672-7843, Vol. 30, no 3, 1-7 p.Article in journal (Refereed) Published
Abstract [en]

Network epidemiology has become a core framework for investigating the role of human contact patterns in the spreading of infectious diseases. In network epidemiology, one represents the contact structure as a network of nodes (individuals) connected by links (sometimes as a temporal network where the links are not continuously active) and the disease as a compartmental model (where individuals are assigned states with respect to the disease and follow certain transition rules between the states). In this paper, we discuss fast algorithms for such simulations and also compare two commonly used versions,one where there is a constant recovery rate (the number of individuals that stop being infectious per time is proportional to the number of such people);the other where the duration of the disease is constant. The results show that, for most practical purposes, these versions are qualitatively the same.

Place, publisher, year, edition, pages
2014. Vol. 30, no 3, 1-7 p.
National Category
Other Natural Sciences Computer Science Other Medical Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:umu:diva-92060DOI: 10.3969/j.issn.1672-7843.2014.03.001OAI: oai:DiVA.org:umu-92060DiVA: diva2:739390
Funder
Swedish Research Council, 2012-3651
Available from: 2014-08-21 Created: 2014-08-21 Last updated: 2014-08-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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