Selected article for: "disease model and generation interval"

Author: Sang Woo Park; David Champredon; Joshua S. Weitz; Jonathan Dushoff
Title: A practical generation interval-based approach to inferring the strength of epidemics from their speed
  • Document date: 2018_5_2
  • ID: jry46itn_3
    Snippet: In disease outbreaks, the rate of spread, r, can be inferred from caseincidence reports, e.g., by fitting an exponential function to the incidence curve [27, 29, 24] . Estimates of the initial exponential rate of spread, r, can then be combined with a mechanistic model that includes unobserved features of the disease to esimate the initial reproductive number, R. In particular, R can be calculated from r and the generation-interval distribution u.....
    Document: In disease outbreaks, the rate of spread, r, can be inferred from caseincidence reports, e.g., by fitting an exponential function to the incidence curve [27, 29, 24] . Estimates of the initial exponential rate of spread, r, can then be combined with a mechanistic model that includes unobserved features of the disease to esimate the initial reproductive number, R. In particular, R can be calculated from r and the generation-interval distribution using the generating function approach popularized by [44] .

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