CHARM++: a portable concurrent object oriented system based on C++
OOPSLA '93 Proceedings of the eighth annual conference on Object-oriented programming systems, languages, and applications
The Mathematics of Infectious Diseases
SIAM Review
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Proceedings of the 23rd international conference on Supercomputing
Generation and analysis of large synthetic social contact networks
Winter Simulation Conference
IPDPS '11 Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium
ENteric Immunity SImulator: A Tool for in silico Study of Gut Immunopathologies
BIBM '11 Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine
Coevolution of epidemics, social networks, and individual behavior: a case study
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
BioWar: scalable agent-based model of bioattacks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IPDPS '12 Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium
Hi-index | 0.00 |
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.