Agent-based computational models can capture irrational behaviour, complex social networks and global scale — all essential in confronting H1N1, says Joshua M. Epstein. As the world braces for an autumn wave of swine flu (H1N1), the relatively new technique of agent-based computational modelling is playing a central part in mapping the disease's possible spread, and designing policies for its mitigation.Classical epidemic modelling, which began in the 1920s, was built on differential equations.
%0 Journal Article
%1 epstein09modelling
%A Epstein, Joshua M.
%D 2009
%I Nature Publishing Group
%J Nature
%K flu, h1n1
%N 7256
%P 687
%R 10.1038/460687a
%T Modelling to contain pandemics
%U http://dx.doi.org/10.1038/460687a
%V 460
%X Agent-based computational models can capture irrational behaviour, complex social networks and global scale — all essential in confronting H1N1, says Joshua M. Epstein. As the world braces for an autumn wave of swine flu (H1N1), the relatively new technique of agent-based computational modelling is playing a central part in mapping the disease's possible spread, and designing policies for its mitigation.Classical epidemic modelling, which began in the 1920s, was built on differential equations.
@article{epstein09modelling,
abstract = {Agent-based computational models can capture irrational behaviour, complex social networks and global scale — all essential in confronting H1N1, says Joshua M. Epstein. As the world braces for an autumn wave of swine flu (H1N1), the relatively new technique of agent-based computational modelling is playing a central part in mapping the disease's possible spread, and designing policies for its mitigation.Classical epidemic modelling, which began in the 1920s, was built on differential equations.},
added-at = {2009-09-24T14:55:30.000+0200},
author = {Epstein, Joshua M.},
biburl = {https://www.bibsonomy.org/bibtex/21184cfaf92e2f3bb02aa7a8322fdaf39/andreacapocci},
citeulike-article-id = {5373956},
citeulike-linkout-0 = {http://dx.doi.org/10.1038/460687a},
citeulike-linkout-1 = {http://dx.doi.org/10.1038/460687a},
doi = {10.1038/460687a},
interhash = {300a0c6ce339412c5e6312d48f6fd9cf},
intrahash = {1184cfaf92e2f3bb02aa7a8322fdaf39},
issn = {0028-0836},
journal = {Nature},
keywords = {flu, h1n1},
month = {August},
number = 7256,
pages = 687,
posted-at = {2009-09-14 12:10:05},
priority = {3},
publisher = {Nature Publishing Group},
timestamp = {2009-09-24T14:55:30.000+0200},
title = {Modelling to contain pandemics},
url = {http://dx.doi.org/10.1038/460687a},
volume = 460,
year = 2009
}