Mobility network models of COVID-19 explain inequities and inform reopening

By S. Chang, Emma Pierson, Pang Wei Koh, J. Gerardin, Beth Redbird, David Grusky, Jure Leskovec. Nature, 2020

1,461 citations recorded by the source corpus.

Subfields: Education

View Paper: https://www.semanticscholar.org/paper/d1e51f9663140fe20c905619fa37ccf15ba2a1b3

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1. Nicola Perra
2. Takahiro Yabe
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5. P. Rao
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8. Shan Jiang

Citations in the corpus

• Non-pharmaceutical interventions during the COVID-19 pandemic: A review (2020, background): “Metapopulation Age unstructured Canada [106]; China [107–110]; France, Poland, Spain [111,112]; Jordan [113]; Italy [114,115]; USA [116,117]; Europe [118]”
• Mobile phone location data for disasters: A review from natural hazards and epidemics (2021, positive): “( Chang et al., 2021b) The use of mobile phone location data Policy applications: Estimating human mobility networks in spatial and temporal granularity can be used to not only understand migration patterns, but as crucial input for epidemiological models (e.g., SIR, SEIR models), which can be used…”