Scaling of contact networks for epidemic spreading in urban transit systems

Abstract

Improved mobility not only contributes to more intensive human activities but also facilitates the spread of communicable disease, thus constituting a major threat to billions of urban commuters. In this study, we present a multi-city investigation of communicable diseases percolating among metro travelers. We use smart card data from three megacities in China to construct individual-level contact networks, based on which the spread of disease is modeled and studied. We observe that, though differing in urban forms, network layouts, and mobility patterns, the metro systems of the three cities share similar contact network structures. This motivates us to develop a universal generation model that captures the distributions of the number of contacts as well as the contact duration among individual travelers. This model explains how the structural properties of the metro contact network are associated with the risk level of communicable diseases. Our results highlight the vulnerability of urban mass transit systems during disease outbreaks and suggest important planning and operation strategies for mitigating the risk of communicable diseases.

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Cited by in corpus (4)

• Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
• Modeling disease spreading with adaptive behavior considering local and global information dissemination
• Modeling the spread of infectious disease in urban areas with travel contagion
• The effect of interurban movements on the spatial distribution of population in China