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_28
Snippet: We test our approximation method by generating a pseudo-realistic generation-interval distributions using previously estimated/observed latent and infectious period distributions for different diseases ( Table 2 ). For each pseudo-realistic distribution, we calculate the "true" relationship between r and R and compare it with a relationship inferred based on gamma distribution approximations. These approximations are first done with large amounts.....
Document: We test our approximation method by generating a pseudo-realistic generation-interval distributions using previously estimated/observed latent and infectious period distributions for different diseases ( Table 2 ). For each pseudo-realistic distribution, we calculate the "true" relationship between r and R and compare it with a relationship inferred based on gamma distribution approximations. These approximations are first done with large amounts of data, allowing us to evaluate how well the approximations describe the r-R relationship under ideal conditions, and then tested with smaller amounts of data to assess how well methods perform when data is limited.
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