Yang Yang, Haiyan Liu*, Jianlin Zhou
CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3311-3327, 2021, DOI:10.32604/cmc.2021.014628
Abstract With COVID-19 continuing to rage around the world, there is a spread of epidemic-related information on social networking platforms. This phenomenon may inhibit or promote the scale of epidemic transmission. This study constructed a double-layer epidemic spreading–information dissemination network based on the movements of individuals across regions to analyze the dynamic evolution and coupling mechanism of information dissemination and epidemic transmission. We also proposed measures to control the spread of the epidemic by analyzing the factors affecting dynamic transmission. We constructed a state probability equation based on Markov chain theory and performed Monte Carlo simulations to demonstrate the interaction between… More >
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