Computational models play an increasingly important role in the assessment and control of public health crises, as demonstrated during the 2009 H1N1 influenza pandemic. Much research has been done in recent years in the development of sophisticated data-driven models for realistic computer-based simulations of infectious disease spreading. However, only a few computational tools are presently available for assessing scenarios, predicting epidemic evolutions, and managing health emergencies that can benefit a broad audience of users including policy makers and health institutions.
%0 Journal Article
%1 Broeck:2011:bmcid
%A van den Broeck, Wouter
%A Gioannini, Corrado
%A Goncalves, Bruno
%A Quaggiotto, Marco
%A Colizza, Vittoria
%A Vespignani, Alessandro
%D 2011
%J BMC Infectious Diseases
%K epidemes
%N 1
%P 37
%R 10.1186/1471-2334-11-37
%T The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale
%V 11
%X Computational models play an increasingly important role in the assessment and control of public health crises, as demonstrated during the 2009 H1N1 influenza pandemic. Much research has been done in recent years in the development of sophisticated data-driven models for realistic computer-based simulations of infectious disease spreading. However, only a few computational tools are presently available for assessing scenarios, predicting epidemic evolutions, and managing health emergencies that can benefit a broad audience of users including policy makers and health institutions.
@article{Broeck:2011:bmcid,
abstract = {Computational models play an increasingly important role in the assessment and control of public health crises, as demonstrated during the 2009 H1N1 influenza pandemic. Much research has been done in recent years in the development of sophisticated data-driven models for realistic computer-based simulations of infectious disease spreading. However, only a few computational tools are presently available for assessing scenarios, predicting epidemic evolutions, and managing health emergencies that can benefit a broad audience of users including policy makers and health institutions.},
added-at = {2017-09-27T15:59:41.000+0200},
author = {van den Broeck, Wouter and Gioannini, Corrado and Gon{\c{c}}alves, Bruno and Quaggiotto, Marco and Colizza, Vittoria and Vespignani, Alessandro},
biburl = {https://www.bibsonomy.org/bibtex/27aed8dd8026d31eecd98969f916ae996/krevelen},
day = 02,
doi = {10.1186/1471-2334-11-37},
interhash = {043a0c5e02ff74091b4db14cb01984d9},
intrahash = {7aed8dd8026d31eecd98969f916ae996},
issn = {1471-2334},
journal = {BMC Infectious Diseases},
keywords = {epidemes},
month = feb,
number = 1,
pages = 37,
timestamp = {2017-09-27T16:47:25.000+0200},
title = {The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale},
volume = 11,
year = 2011
}