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A workflow for software development within computational epidemiology
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture (Closed 20120101), Software and Computer Systems, SCS (Closed 20120101).
2011 (English)In: Journal of Computational Science, ISSN 1877-7503, Vol. 2, no 3, 216-222 p.Article in journal (Refereed) Published
Abstract [en]

A critical investigation into computational models developed for studying the spread of communicable disease is presented. The case in point is a spatially explicit micro-meso-macro model for the entire Swedish population built on registry data, thus far used for smallpox and for influenza-like illnesses. The lessons learned from a software development project of more than 100 person months are collected into a check list. The list is intended for use by computational epidemiologists and policy makers, and the workflow incorporating these two roles is described in detail.

Place, publisher, year, edition, pages
Elsevier , 2011. Vol. 2, no 3, 216-222 p.
Keyword [en]
policy making, computatinal epidemiology, workflow, individual-based simulation
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-33874DOI: 10.1016/j.jocs.2011.05.004ISI: 000208808300005Scopus ID: 2-s2.0-80052883032OAI: oai:DiVA.org:kth-33874DiVA: diva2:418234
Note

NOTICE: This is the author’s version of a work that was accepted for publication in Journal of Computationa Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational Science, VOL 2, ISSUE 3, 6 June 2011 DOI 10.1016/j.jocs.2011.05.004.

Available from: 2011-09-26 Created: 2011-05-20 Last updated: 2014-09-23Bibliographically approved

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Cakici, BakiBoman, Magnus
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