DocumentCode
597435
Title
High performance informatics for pandemic preparedness
Author
Bisset, Keith R. ; Eubank, Stephen ; Marathe, Madhav V.
Author_Institution
Dept. of Comput. Sci., Virginia Tech, Blacksburg, VA, USA
fYear
2012
fDate
9-12 Dec. 2012
Firstpage
1
Lastpage
12
Abstract
Pandemics such as H1N1 influenza are global outbreaks of infectious disease. Human behavior, social contact networks, and pandemics are closely intertwined. The ordinary behavior and daily activities of individuals create varied and dense social interactions that are characteristic of modern urban societies. They provide a perfect fabric for rapid, uncontrolled disease propagation. Individuals´ changing behaviors in response to public policies and their evolving perception of how an infectious disease outbreak is unfolding can dramatically alter normal social interactions. Effective planning and response strategies must take these complicated interactions into account. Recent quantitative changes in high performance computing and networking have created new opportunities for collecting, integrating, analyzing and accessing information related to such large social contact networks and epidemic outbreaks. The paper will describe our efforts to build a Cyber Infrastructure for EPIdemics (CIEPI) - a high performance computing oriented decision-support environment to support planning and response in the event of epidemics.
Keywords
diseases; health care; medical information systems; societies; CIEPI; H1N1 influenza; cyber infrastructure for epidemics; decision-support; disease propagation; epidemic outbreak; high performance informatics; human behavior; infectious disease; pandemic preparedness; public policy; social contact network; social interaction; urban societies; Analytical models; Biological system modeling; Computational modeling; Diseases; Public healthcare; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2012 Winter
Conference_Location
Berlin
ISSN
0891-7736
Print_ISBN
978-1-4673-4779-2
Electronic_ISBN
0891-7736
Type
conf
DOI
10.1109/WSC.2012.6465211
Filename
6465211
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