The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale.
about
Predicting and controlling infectious disease epidemics using temporal networksNew technologies in predicting, preventing and controlling emerging infectious diseasesRich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classesUsing electronic health records and Internet search information for accurate influenza forecasting.Inferring the structure of social contacts from demographic data in the analysis of infectious diseases spreadTranslation of Real-Time Infectious Disease Modeling into Routine Public Health Practice.Development of a resource modelling tool to support decision makers in pandemic influenza preparedness: The AsiaFluCap SimulatorMathematical models to characterize early epidemic growth: A reviewUnifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2.An Interactive, Web-based High Performance Modeling Environment for Computational Epidemiology.Infectious disease modeling methods as tools for informing response to novel influenza viruses of unknown pandemic potential.Measuring the potential of individual airports for pandemic spread over the world airline network.A Flexible Simulation Architecture for Pandemic Influenza Simulation.Visual analytics of geo-social interaction patterns for epidemic control.Dynamic Multicore Processing for Pandemic Influenza Simulation.Evolution of scaling emergence in large-scale spatial epidemic spreading.Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm.An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matricesData-driven outbreak forecasting with a simple nonlinear growth model.An approach to and web-based tool for infectious disease outbreak intervention analysis.Integrative modelling for One Health: pattern, process and participation.Saving Human Lives: What Complexity Science and Information Systems can Contribute.A lattice model for influenza spreadingDisease prediction models and operational readinessInfections on Temporal Networks--A Matrix-Based Approach.Distress Propagation in Complex Networks: The Case of Non-Linear DebtRank.Disease-induced resource constraints can trigger explosive epidemicsHuman mobility and the worldwide impact of intentional localized highly pathogenic virus release.The epidemiology ontology: an ontology for the semantic annotation of epidemiological resources.epiDMS: Data Management and Analytics for Decision-Making From Epidemic Spread Simulation Ensembles.Effective distances for epidemics spreading on complex networks.Spreading dynamics on complex networks: a general stochastic approach.Air travel and vector-borne disease movement.Social Simulation Models at the Ethical Crossroads.Identification of Patient Zero in Static and Temporal Networks: Robustness and Limitations.Exploratory of societyData-driven Human Mobility ModelingA hybrid modeling approach to simulating foot-and-mouth disease outbreaks in Australian livestock
P2860
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P2860
The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale.
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
The GLEaMviz computational too ...... scenarios at the global scale.
@ast
The GLEaMviz computational too ...... scenarios at the global scale.
@en
type
label
The GLEaMviz computational too ...... scenarios at the global scale.
@ast
The GLEaMviz computational too ...... scenarios at the global scale.
@en
prefLabel
The GLEaMviz computational too ...... scenarios at the global scale.
@ast
The GLEaMviz computational too ...... scenarios at the global scale.
@en
P2093
P2860
P50
P356
P1476
The GLEaMviz computational too ...... scenarios at the global scale.
@en
P2093
Bruno Gonçalves
Marco Quaggiotto
Wouter Van den Broeck
P2860
P2888
P356
10.1186/1471-2334-11-37
P5008
P577
2011-02-02T00:00:00Z
P5875
P6179
1021107429