New tool for simulating epidemic spreading on meta-population networks has been released

ISI Computational Epidemiology Lab, in collaboration with professor Alessandro Vespignani (Northeastern University)  has developed and released the EpiPop simulator, a Web tool that allows to simulate the spreading of an infectious disease on a metapopulation network, and to explore the time evolution of the epidemic.
The platform features an intuitive visual interface which allows to create a compartmental model describing the contagion process and the disease in a flexible way, and to design the sub-populations network by specifying number of nodes, connections, the population value for each node, and the mobility fluxes of individuals connecting them.
The stochastic epidemic dynamics is performed within each subpopulation by the computational engine, considering the disease dynamic and the commuting and mobility flows. It allows for the simulation of various kinds of intervention strategies, like vaccination campaigns, or the distribution of antiviral drugs.
The simulations’ output results can be visualized through dynamic plot charts. Various options are possible to configure the displayed plots, and multiple time series can be compared at the same time. The simulation’s output can be visualized through dynamic plot charts, representing the number of new and cumulative transitions to the selected compartments for the various sup-populations. Different options are possible to configure the displayed plots, and multiple time series can be compared at the same time.