Cakici, Baki and Boman, Magnus. 2011. A Workflow for Software Development Within Computational Epidemiology. Journal of Computational Science, 2(3), pp. 216-222. ISSN 1877-7503 [Article]

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Abstract or Description

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.

Item Type:	Article
Identification Number (DOI):	https://doi.org/10.1016/j.jocs.2011.05.004
Keywords:	Policy making; Computational epidemiology; Workflow; Individual-based simulation
Departments, Centres and Research Units:	Sociology
Dates:	Date Event August 2011 Published
Item ID:	11141
Date Deposited:	17 Jan 2015 10:09
Last Modified:	29 Apr 2020 16:05
Peer Reviewed:	Yes, this version has been peer-reviewed.
URI:	https://research.gold.ac.uk/id/eprint/11141

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