Selected article for: "epidemic growth and Hubei epidemic growth"

Author: Roosa, K.; Lee, Y.; Luo, R.; Kirpich, A.; Rothenberg, R.; Hyman, J.M.; Yan, P.; Chowell, G.
Title: Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020
  • Document date: 2020_2_14
  • ID: 0zw3ukpx_31
    Snippet: Our models yield a good visual fit to the epidemic curves, based on residuals, with the sub-epidemic model outperforming the other models in terms of mean squared error (MSE) (Supplemental Tables 1 and 2). Parameter estimation results from the GLM consistently show that the epidemic growth is near exponential in Hubei and sub-exponential in other provinces......
    Document: Our models yield a good visual fit to the epidemic curves, based on residuals, with the sub-epidemic model outperforming the other models in terms of mean squared error (MSE) (Supplemental Tables 1 and 2). Parameter estimation results from the GLM consistently show that the epidemic growth is near exponential in Hubei and sub-exponential in other provinces.

    Search related documents:
    Co phrase search for related documents
    • epidemic curve and parameter estimation: 1, 2, 3, 4
    • epidemic curve and squared error: 1, 2
    • epidemic curve and sub epidemic model: 1
    • epidemic growth and parameter estimation: 1, 2, 3
    • epidemic growth and squared error: 1
    • epidemic growth and sub epidemic model: 1, 2, 3, 4, 5, 6, 7, 8
    • mean squared error and model outperform: 1
    • mean squared error and MSE mean squared error: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • mean squared error and MSE mean squared error term: 1, 2
    • mean squared error and parameter estimation: 1
    • mean squared error and squared error: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • model outperform and parameter estimation: 1
    • model outperform and squared error: 1
    • MSE mean squared error and squared error: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • MSE mean squared error term and squared error: 1, 2
    • parameter estimation and squared error: 1, 2