In many developing countries, public transit plays an important role in daily life. However, few existing methods have considered the influence of public transit in their models. In this work, we present a dual-perspective view of the epidemic spreading process of the individual that involves both contamination in places (such as work places and homes) and public transit (such as buses and trains). In more detail, we consider a group of individuals who travel to some places using public transit, and introduce public transit into the epidemic spreading process. Our simulation results suggest that individuals with a high public transit trip contribution rate will increase the volume of infectious people when an infectious disease outbreak occurs by affecting the social network through the public transit trip contribution rate.
Authors: Yuan Bai (Department of Integrative Biology, University of Texas at Austin, Austin, 78705,The United States), Qiuyang Huang (College of Computer Science and Technology, Jilin University, Changchun 130117,China), Zhanwei Du (Department of Integrative Biology, University of Texas at Austin, Austin, 78705,The United States),
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