GLEaMviz Simulator

period: since 2008
institutes: ISI Foundation, Turin, Italy - Indiana University, USA

The GLEaMviz project builds on long-running research on the computational modeling of epidemics at the Computational Epidemiology Lab at the ISI Foundation and the Center for Complex Networks and Systems Research at Indiana University, USA, under the direction of Alessandro Vespignani and Vittoria Colizza.

GLEaM is a Global Epidemic and Mobility modeler for simulating the global spread of epidemics, considering detailed sociodemographic and population mobility data in a spatially structured stochastic disease approach. This system is used to project the spreading of ongoing epidemics, such as the 2009 Influenza A H1N1 virus outbreak, and asses the impact of various intervention scenarios such as travel restrictions or the preventive administration of antivirals or vacinations. The following movie provides an overview of GLEaM.

Building on this model we developed a fully integrated client-server system, called the GLEaMviz Simulator system, which allows its users to define, submit and visualize simulations of world-wide epidemic outbreaks. The client application, for which I am the lead developer, is used to design the compartmental model of the investigated disease, define the simulation parameters, submit the simulations for execution on the server, and interactively visualize the results retrieved from the server. The following diagram provides an overview of the workflow of a complete simulation setup, execution and visualization process, and the involved GLEaMviz Simulator components.

GLEaMviz Simulator workflow diagram: 1) Design the compartmental model of the infectious disease in the Model Builder; 2) Configure the simulation of the world-wide epidemic spreading in the Simulation Wizard; 3) Submit the simulation for execution by the Engine on the server; 4) Inspect the simulations and retrieve their results in the Simulations History; 5) Inspect the results of the simulations in the interactive Visualization.

The following movie provides an overview of the functionality provided by the GLEaMviz system.

This application was initially used in-house as well as by scientists at the European Commission's Joint Research Center. As of July 2010, a publicly accessible version of the complete system has been made available online.

The following images show the principal components of this application, which was developed for the cross-platform Adobe AIR runtime.

The main window with the simulation management interface
The main window with the current and previously executed simulation management interface.
The compartmental model builder
The compartmental model builder, which provides a visual modeling tool for designing arbitrary compartmental models, ranging from simple SIR models to complex compartmentalizations in which, for instance, multiple interventions are considered and/or disease-associated complications.
The simulation wizard windows.
The simulation wizard provides a sequence of panels that lead the user through the configuration of a simulation.
The compartmental model builder
The interactive visualization of the geotemporal evolution of the epidemic by means of a multi-scale map and a set of incidence curve. The user can select the day using the slider or can hit play to see the spreading unfold as an animation.

Next to this application targetted at epidemiologic scientists and healthcare professionals, we also developed the Epidemic Planet, an exhibit meant to disseminate this research to a broad audience.

More information:

In collaboration with:

Prof. Alessandro Vespignani, Vittoria Colizza, Marco Quaggiotto, Corrado Gioannini, José Ramasco, Duygu Balcan, Paolo Bajardi, Bruno Gonçalves, Hao Hu, Chiara Poletto, Michele Tizzoni, Nicola Perra, Daniela Paolotti

Publications

  • Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic
    Duygu Balcan, Vittoria Colizza, Andrew C. Singer, Christos Chouaid, Hao Hu, Bruno Gonçalves, Paolo Bajardi, Chiara Poletto, José J. Ramasco, Nicola Perra, Michele Tizzoni, Daniela Paolotti, Wouter Van den Broeck, A.-J. Valleron, and Alessandro Vespignani. PLoS Currents: Influenza. 2009 Dec 4, RRN1133. download document
  • Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model. Vittoria Colizza, Alessandro Vespignani, Nicola Perra, Chiara Poletto, Bruno Gonçalves, Hao Hu, Duygu Balcan, Daniela Paolotti, Wouter Van den Broeck, Michele Tizzoni, Paolo Bajardi, and José J. Ramasco. PLoS Currents: Influenza. 2009 Nov 11:RRN1129. download document
  • Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere. Paulo Bajardi, Chiara Poletto, Duygu Balcan, Hao Hu, Bruno Goncalves, José J. Ramasco, Daniela Paolotti, Nicola Perra, Michele Tizzoni, Wouter Van den Broeck, Vittoria Colizza and Alessandro Vespignani. Emerging Health Threats Journal 2009, 2:e11. doi: 10.3134/ehtj.09.011. download document
  • Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility. Duygu Balcan, Hao Hu, Bruno Goncalves, Paolo Bajardi, Chiara Poletto, José J. Ramasco, Daniela Paolotti, Nicola Perra, Michele Tizzoni, Wouter Van den Broeck, Vittoria Colizza, and Alessandro Vespignani. BMC Medicine 2009, 7:45. download document download document
  • More GLEaM publications