Only a few computational tools are currently available to the public for the analysis and modeling of epidemics. These range from very simple spreadsheet-based models aimed at providing quick estimates for the number of patients and hospitalizations during a pandemic (see e.g. FluSurge [15] ) to more complicated tools based on increasingly sophisticated simulation approaches [11, 16, 12, 10, 13, 5] . These tools differ in their underlying modeling approaches and in the implementation, flexibility, and accessibility of the software itself.