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
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;
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2012 Winter
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-4779-2
Electronic_ISBN :
0891-7736
DOI :
10.1109/WSC.2012.6465211