Selected article for: "approximation model and infection probability approximation model"

Author: McCarthy, John E.; Dumas, Bob A.
Title: Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2
  • Cord-id: hvl2w0p3
  • Document date: 2020_6_8
  • ID: hvl2w0p3
    Snippet: We propose a linear model of infection probability, and prove that this is a good approximation to a more refined model in which we assume infections come from a series of independent risks. We argue that the linearity assumption makes interpreting and using the model much easier, without significantly diminishing the reliability of the model.
    Document: We propose a linear model of infection probability, and prove that this is a good approximation to a more refined model in which we assume infections come from a series of independent risks. We argue that the linearity assumption makes interpreting and using the model much easier, without significantly diminishing the reliability of the model.

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