Volta

A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings

Unknown authors · 2019
hash_id: a049e9c5f9fa51db000715e30502a65b6ca854b42b601fb269ef635af4e6c520 · DOI: 10.12794/metadc1505145

This dissertation presents a data-driven computational epidemic framework to simulate disease epidemics at global mass gatherings. The annual Muslim pilgrimage to Makkah, Saudi Arabia is used to demonstrate the simulation and analysis of various disease transmission scenarios throughout the different stages of the event from the arrival to the departure of international participants. The proposed agent-based epidemic model efficiently captures the demographic, spatial, and temporal heterogeneity at each stage of the global event of Hajj. Experimental results indicate the substantial impact of the demographic and mobility patterns of the heterogeneous population of pilgrims on the progression of the disease spread in the different stages of Hajj. In addition, these simulations suggest that the differences in the spatial and temporal settings …

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Mass Gatherings and Infectious Diseases Epidemiology and Surveillance secondary