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
Link To Document :
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