Author: Chowell, Gerardo
Title: Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A primer for parameter uncertainty, identifiability, and forecasts Document date: 2017_8_12
ID: 3aa8wgr0_99
Snippet: Using the empirical distribution of b R 0i , we have full control of the uncertainty allowing us to not only construct confidence intervals, but also assess the probability that b R 0i lies above the epidemic threshold at 1.0. Example #9: Estimating R 0 by fitting the SEIR model to the early epidemic growth phase (adapted from ref. (Chowell, Nishiura, & Bettencourt, 2007) )......
Document: Using the empirical distribution of b R 0i , we have full control of the uncertainty allowing us to not only construct confidence intervals, but also assess the probability that b R 0i lies above the epidemic threshold at 1.0. Example #9: Estimating R 0 by fitting the SEIR model to the early epidemic growth phase (adapted from ref. (Chowell, Nishiura, & Bettencourt, 2007) ).
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