The global epidemic and mobility model, Gleam, combines real-world data on populations and human mobility with elaborate stochastic models of disease transmission to deliver analytic and forecasting power to address the challenges faced in developing intervention strategies that minimize the impact of potentially devastating epidemics.


Gleam is a discrete stochastic epidemic computational model, based on high-resolution demographic and mobility datasets, in which the world is defined in geographical census areas connected by human transportation networks, including long-range airline connections and short-range commuting pattern. The Gleamviz project covers the research conducted with Gleam and the tools derived from it. To make the modelling with Gleam publicly available, the project’s team has developed Gleamviz Simulator software, aimed at facilitating the use of the computational model for policy making and scenario analysis of infectious disease outbreaks.

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