查看文章

RESEARCH HIGHLIGHTS: ▶ Integration of empirical mobility networks in a computational epidemic model. ▶ Discrete stochastic epidemic model at the worldwide scale. ▶ Computational platform and algorithms that can be extended to other diseases. ABSTRACT: Here we present the Global Epidemic and Mobility (GLEaM) model that integrates sociodemographic and population mobility data in a spatially structured stochastic disease approach to simulate the spread of epidemics at the worldwide scale. We discuss the flexible structure of the model that is open to the inclusion of different disease structures and local intervention policies. This makes GLEaM suitable for the computational modeling and anticipation of the spatio-temporal patterns of global epidemic spreading, the understanding of historical epidemics, the assessment of the role of human mobility in shaping global epidemics, and the analysis of …