Abstract
Epidemic modeling and simulation techniques have been getting attention since the outbreak of Ebola virus in West Africa regions in 2014. The epidemic modeling has been significantly studied so far, but recent improvements of high performance computing technologies and availability of human mobility and contact data promoted by the IoT enables more realistic data-driven approaches. In this paper, we introduce the agent-based infections diffusion simulation using real human mobility data as metapopulation network. We compare the results of simulations with the conventional measures of network analysis, which highlights the metapopulation networks have important roles of pandemic in society.
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