Selected article for: "pandemic influenza and SEIR model"
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_106
    Snippet: The best fit of the SEIR model to the first 16, 18, and 20 days of the influenza pandemic in San Francisco along the corresponding empirical distribution of R 0 is shown in Fig. 18 . We can observe that the distribution of R 0 is stable when using 16, 18 or 20 epidemic days of data. R 0 was estimated at 2.3 (95% CI: 2.2, 2.3) using 16 epidemic days, 2.3 (95% CI: 2.2, 2.3) using 18 epidemic days, and 2.3 (95% CI: 2.3, 2.3) using 20 epidemic days......
    Document: The best fit of the SEIR model to the first 16, 18, and 20 days of the influenza pandemic in San Francisco along the corresponding empirical distribution of R 0 is shown in Fig. 18 . We can observe that the distribution of R 0 is stable when using 16, 18 or 20 epidemic days of data. R 0 was estimated at 2.3 (95% CI: 2.2, 2.3) using 16 epidemic days, 2.3 (95% CI: 2.2, 2.3) using 18 epidemic days, and 2.3 (95% CI: 2.3, 2.3) using 20 epidemic days.

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