DocumentCode
3353699
Title
Designing visual analytics systems for disease spread and evolution: VAST 2010 mini challenge 2 and 3 award: Good overall design and analysis
Author
Wood, J. ; Slingsby, A. ; Dykes, J.
Author_Institution
giCentre, City Univ. London, London, UK
fYear
2010
fDate
25-26 Oct. 2010
Firstpage
285
Lastpage
286
Abstract
Using two of the VAST 2010 mini challenges as a case study, we report on the design decisions and software development process used to create visual analytics software for understanding disease spread and mutation. The software we developed and the analysis conducted attempted to help us understand (a) how a fictitious disease may have spread between selected cities around the globe; and (b) how genetic sequences taken from infected patients may be used to chart the evolution of the disease and changes in its severity, drug resistance and other characteristics.
Keywords
data analysis; data visualisation; diseases; genetic engineering; health care; software engineering; VAST 2010 mini challenges; disease evolution; disease spread; genetic sequences; infected patients; software development; visual analytics systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
Conference_Location
Salt Lake City, UT
Print_ISBN
978-1-4244-9488-0
Type
conf
DOI
10.1109/VAST.2010.5652689
Filename
5652689
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