Selected article for: "incubation period and time delay"

Author: Hongzhou Lu; Jingwen Ai; Yinzhong Shen; Yang Li; Tao Li; Xian Zhou; Haocheng Zhang; Qiran Zhang; Yun Ling; Sheng Wang; Hongping Qu; Yuan Gao; Yingchuan Li; Kanglong Yu; Duming Zhu; Hecheng Zhu; Rui Tian; Mei Zeng; Qiang Li; Yuanlin Song; Xiangyang Li; Jinfu Xu; Jie Xu; Enqiang Mao; Bijie Hu; Xin Li; Lei Zhu; Wenhong Zhang
Title: A descriptive study of the impact of diseases control and prevention on the epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai, lessons learned for metropolis epidemics prevention
  • Document date: 2020_2_23
  • ID: dbzrd23n_16
    Snippet: The incubation period distribution (i.e., the time delay from suspected contact to illness 141 onset), and the onset-to-admission distribution was estimated by fitting a Weibull 142 distribution to data on suspected exposure and onset dates in a subset of cases with 143 detailed information available. Categorical variables were described as frequencies and 144 percentages, and compared by Chi-square test or Fisher's exact test between two cohorts.....
    Document: The incubation period distribution (i.e., the time delay from suspected contact to illness 141 onset), and the onset-to-admission distribution was estimated by fitting a Weibull 142 distribution to data on suspected exposure and onset dates in a subset of cases with 143 detailed information available. Categorical variables were described as frequencies and 144 percentages, and compared by Chi-square test or Fisher's exact test between two cohorts. 145

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