Scaling of contact networks for epidemic spreading in urban transit systems
Xinwu Qian; Lijun Sun; Satish V. Ukkusuri · 2021 · Scientific Reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
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
Abstract by Xinwu Qian; Lijun Sun; Satish V. Ukkusuri, Scientific Reports (2021) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1038/s41598-021-83878-7