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Infection Diffusion Analysis based on Human Behavior Model and Infection Diffusion Network
人の行動モデルと感染ネットワーク構造に基づく感染拡散分析
2021
人の行動モデルと感染ネットワーク構造に基づく感染拡散分析
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In order to understand and predict the spread of COVID-19 infection, we analyzed tweets and TV news programs concerning about COVID-19. We then simulated the spread of COVID-19 infection diffusion by using our proposed extended SERI model, consisted on a power-law based human behavior model and human movement network constructed as a small world network structure. As a result, we found that it was possible to reproduce the COVID-19 infection situation from last year in Japan. In this paper, we
doi:10.11517/pjsai.jsai2021.0_3i1gs5d04
fatcat:6yfulmyxqzhdplpp6ckmdvftle