GLEAMviz Simulator Client v7
Setting up the GLEAMviz Simulator v7 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. The software is available for Windows, Mac and Linux.
To install the client, download the application installer for your operating system:
Mac OSX: GLEAMviz-7.0-osx-installer.app.zip
Linux 64 bit: GLEAMviz-7.0-linux-x64-installer.run
then run the installer and the GLEAMviz Simulator will be ready to use in a while. (Linux users might have to set the executable permission on the installer file and/or run it from the terminal, depending on the OS distribution configuration).
Please note that according to your security settings you might need to explicitly allow the execution of the installer.
You can download the application manual at the following link:
To learn more on how to get started you can watch a ten minute tutorial showing 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. Please note that this tutorial uses an old version of the software, with a 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).