• Corpus ID: 218470162

Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US

@article{Yang2020QuantifyingPI,
  title={Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US},
  author={Chaoqi Yang and Ruijie Wang and Fangwei Gao and Dachun Sun and Jiawei Tang and Tarek F. Abdelzaher},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.00112}
}
Current social distancing measures to impede COVID-19 (such as shelter-in-place) are economically unsustainable in the long term. Models are needed to understand the implications of possible relaxation options for these measures. We report such models, together with corresponding parameter estimation techniques and prediction outcomes, borrowing insights from another domain; namely, information cascades. Our models assume that the containment of the virus into isolated locales is no longer… 
3 Citations

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