Quantifying SARS-CoV-2 infection risk within the Apple/Google exposure notification framework to inform quarantine recommendations

@article{Wilson2020QuantifyingSI,
  title={Quantifying SARS-CoV-2 infection risk within the Apple/Google exposure notification framework to inform quarantine recommendations},
  author={Amanda M. Wilson and Nathan Aviles and James Petrie and Paloma I. Beamer and Zsombor Szabo and Michelle Xie and Janet McIllece and Yijie Chen and Young-Jun Son and Sameer Halai and Tina White and Kacey C. Ernst and Joanna Masel},
  journal={medRxiv},
  year={2020}
}
Background: Bluetooth-based exposure notification apps can supplement manual contact tracing to reduce SARS-CoV-2 transmission. Their speed, scalability, and privacy preservation are generally acknowledged, but less exploited are smartphones' accurate measurement of duration, and ability to automatically calculate risk from multiple inputs. Methods: We model uncertainty in the shape of an exhaled virus-containing plume, inhalation parameters, and distance as a function of Bluetooth attenuation… 

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