Selected article for: "standard deviation and time point"
Author: Shujuan Ma; Jiayue Zhang; Minyan Zeng; Qingping Yun; Wei Guo; Yixiang Zheng; Shi Zhao; Maggie H Wang; Zuyao Yang
Title: Epidemiological parameters of coronavirus disease 2019: a pooled analysis of publicly reported individual data of 1155 cases from seven countries
  • Document date: 2020_3_24
    • ID: 56zhxd6e_29
    Snippet: The basic characteristics of included cases were summarized descriptively. The lognormal, Weibull, and gamma distributions were fitted to the datasets of incubation period and upper limit of latent period, and the key parameters were estimated by using the maximum likelihood approach. For serial interval and time point of exposure, we assumed that they followed a normal distribution. 8 This was to address the negative values in the serial interva.....
    Document: The basic characteristics of included cases were summarized descriptively. The lognormal, Weibull, and gamma distributions were fitted to the datasets of incubation period and upper limit of latent period, and the key parameters were estimated by using the maximum likelihood approach. For serial interval and time point of exposure, we assumed that they followed a normal distribution. 8 This was to address the negative values in the serial interval reported by previous studies, in which case the lognormal, Weibull, and gamma distributions may be limited. 24, 25 For each parameter, the range, median, selected percentiles, mean and standard deviation were estimated. The 95% confidence intervals (CI) of mean and standard deviation were estimated by using the bootstrap technique. R0 was estimated by using two widely accepted formula: 8, 9, 19, 20

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