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Scalable, efficient epidemiological simulation [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2001.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
12 pages : digital, PDF file
Additional Creators
Los Alamos National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
We describe the design and implementation of a system for simulating the spread of disease among individuals in a large urban population over the course of several weeks, In contrast to traditional approaches, we do not assume uniform mixing among large sub-populations or split the population into spatial or demographic subpopulations determined a priori. Instead, we rely on empirical estimates of the social network, or contact patterns, that are produced by TRANSIMS, a large-scale simulation of transportation systems.
Report Numbers
E 1.99:la-ur-01-5513
la-ur-01-5513
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Note
Published through SciTech Connect.
01/01/2001.
"la-ur-01-5513"
"Submitted to: ACM Symposium on Applied Computing, Madrid, Spain, March 10-13, 2002".
Eubank, S. G.
View MARC record | catkey: 14072924