Selected article for: "case probability and cc international license"
Author: Justin D Silverman; Alex D Washburne
Title: Using ILI surveillance to estimate state-specific case detection rates and forecast SARS-CoV-2 spread in the United States
  • Document date: 2020_4_3
    • ID: 17oac3bg_20
    Snippet: In what follows, let i index state i and let t index week t (with t = 0 referring to October 3, 2010; the start of ILINet surveilance). Our analysis centers around decomposing the probability of testing positive for COVID, δ into the product of the syndromic case detection rate for ILI patients, δ s , and the probability that a COVID patients presents to the clinic with ILI, δ c . CC-BY 4.0 International license It is made available under a is.....
    Document: In what follows, let i index state i and let t index week t (with t = 0 referring to October 3, 2010; the start of ILINet surveilance). Our analysis centers around decomposing the probability of testing positive for COVID, δ into the product of the syndromic case detection rate for ILI patients, δ s , and the probability that a COVID patients presents to the clinic with ILI, δ c . CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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