Selected article for: "hospitalization rate and lag time"

Author: Steve Yadlowsky; Nigam Shah; Jacob Steinhardt
Title: Estimation of SARS-CoV-2 Infection Prevalence in Santa Clara County
  • Document date: 2020_3_27
  • ID: 6vt60348_20
    Snippet: The parameters are summarized below in Table 1 . Our lower bounds are a 10.5% increase in infections per day, a 5 day lag time and a 6.2% hospitalization rate of the infected population. Our best guesses are a 15% increase in infections per day, an 11 day lag time, and a 4% hospitalization rate. Our upper bounds are a 22% increase in infections per day, a 12 day lag time, and a 2.3% hospitalization rate......
    Document: The parameters are summarized below in Table 1 . Our lower bounds are a 10.5% increase in infections per day, a 5 day lag time and a 6.2% hospitalization rate of the infected population. Our best guesses are a 15% increase in infections per day, an 11 day lag time, and a 4% hospitalization rate. Our upper bounds are a 22% increase in infections per day, a 12 day lag time, and a 2.3% hospitalization rate.

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