Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2
McCarthy, J. E.; Dumas, B. A.
Show abstract
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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