ArticleScientific reports2021
Scaling of contact networks for epidemic spreading in urban transit systems.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Remarks on a Scaling Theory of Spread of COVID-19 with an Application to the Case of Bulgaria.Entropy (Basel, Switzerland) · 2026Article
- An evaluation framework for operational interventions on urban mass public transport during a pandemic.Scientific reports · 2023Article
- Spatiotemporal impacts of human activities and socio-demographics during the COVID-19 outbreak in the US.BMC public health · 2022Article
- Managing public transit during a pandemic: The trade-off between safety and mobility.Transportation research. Part C, Emerging technologies · 2022Article
- The dynamical formation of ephemeral groups on networks and their effects on epidemics spreading.Scientific reports · 2022Article
- A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity.Transport policy · 2021Article
- Modeling epidemic spreading through public transit using time-varying encounter network.Transportation research. Part C, Emerging technologies · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.