Corpus ID: 216915175

Observed mobility behavior data reveal social distancing inertia

@article{Ghader2020ObservedMB,
  title={Observed mobility behavior data reveal social distancing inertia},
  author={Sepehr Ghader and Jun Zhao and Minha Lee and Weiyi Zhou and Guangchen Zhao and L. Zhang},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.14748}
}
  • Sepehr Ghader, Jun Zhao, +3 authors L. Zhang
  • Published 2020
  • Computer Science
  • ArXiv
  • The research team has utilized an integrated dataset, consisting of anonymized location data, COVID-19 case data, and census population information, to study the impact of COVID-19 on human mobility. The study revealed that statistics related to social distancing, namely trip rate, miles traveled per person, and percentage of population staying at home have all showed an unexpected trend, which we named social distancing inertia. The trends showed that as soon as COVID-19 cases were observed… CONTINUE READING

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