GLEAMviz Simulator Client

Setting up the GLEAMviz Simulator v4 Client

The GLEAMviz Simulator is a desktop application, meaning that in order to use it you will need to install the application on your computer.

Mac OS X and Windows users

To install the GLEAMviz Simulator client on your Mac or Windows desktop you first need to install the latest AIR runtime, and then run the GLEAMviz installer.

Linux users

To install the GLEAMviz Simulator client on your Linux desktop you first need to install the AIR v2 runtime, and then run the GLEAMviz for Linux installer.

Technical note: The GLEAMviz for Linux installer supports AIR v2.6, the latest version currently supported on Linux. As a consequence, the 3D-globe visualization is not included in the Linux version because it requires features not provided in this version of AIR.

Manual

You can download the following manuals:

To learn more on how to get started: watch a ten minute tutorial on how to set up your first simulation and get a first introduction on the things you can do with GLEAMviz. The tutorial illustrates the basic operations needed to create a compartmental model, define the initial conditions of the simulation, manage the simulation files and visualize the results. Operations concerned with the export of data and setup configurations are also briefly covered. Note that this tutorial uses a previous version 2.8 which has a slightly different user interface.

Conditions of use

All material obtained directly from the simulation products of the GLEAMviz Simulator, or further processed, can be published provided the appropriate credit to the website of the project (www.gleamviz.org) and the following publications:

The GLEAMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale.
W. Van den Broeck, C. Gioannini, B. Gonçalves, M. Quaggiotto, V. Colizza, A. Vespignani. BMC Infectious Diseases 11, 37 (2011).

Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility.
D. Balcan, H. Hu, B. Goncalves, P. Bajardi, C. Poletto, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani. BMC Medicine 7, 45 (2009).