Selected article for: "empirical distribution and incubation distribution"
Author: Junko Kurita; Yoshiyuki Sugishita; Tamie Sugawara; Yasushi Ohkusa
Title: Estimation of protection for COVID-19 in children from epidemiological information and estimate effect of policy in Japan
  • Document date: 2020_3_30
    • ID: c5p0yp04_22
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.27.20045252 doi: medRxiv preprint During 14 January -28 February in Japan, 9 cases in children, 165 cases in adults, and 126 cases in elderly people were identified as community-acquired COVID-19 for whom the onset date was published. Figure 1 depicts the empirical distribution of incubation period among 62 cases for which the exposed dat.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.27.20045252 doi: medRxiv preprint During 14 January -28 February in Japan, 9 cases in children, 165 cases in adults, and 126 cases in elderly people were identified as community-acquired COVID-19 for whom the onset date was published. Figure 1 depicts the empirical distribution of incubation period among 62 cases for which the exposed date and onset date were published by MHLW. Its mode and median were six days; the average was 6.74 days. From this information, we estimated the degree of reporting delay. Those results are presented in Table 1 . The table shows that 1/k, 1/m, and 1/km are all significant. When m is sufficiently large, the effects of 1/m and 1/km converge to zero. Therefore, the estimated degree of reporting delay consists of the term of 1/k and a constant term.

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