Selected article for: "interval distribution and serial interval distribution"

Author: Tapiwa Ganyani; Cecile Kremer; Dongxuan Chen; Andrea Torneri; Christel Faes; Jacco Wallinga; Niel Hens
Title: Estimating the generation interval for COVID-19 based on symptom onset data
  • Document date: 2020_3_8
  • ID: cq6mivr9_3
    Snippet: As soon as line lists were made available, statistical and mathematical modelling was used to quantify these key epidemiological parameters. Li et al. [2] estimated the basic reproduction number (using a renewal equation) to be 2.2 (95% CI 1.4-3.9), the serial interval distribution to have a mean of 7.5 days (95% CI 5.5-19) based on 6 observations, and the incubation period distribution to have a mean of 5.2 days (95% CI 4.1-7.0) based on 10 obse.....
    Document: As soon as line lists were made available, statistical and mathematical modelling was used to quantify these key epidemiological parameters. Li et al. [2] estimated the basic reproduction number (using a renewal equation) to be 2.2 (95% CI 1.4-3.9), the serial interval distribution to have a mean of 7.5 days (95% CI 5.5-19) based on 6 observations, and the incubation period distribution to have a mean of 5.2 days (95% CI 4.1-7.0) based on 10 observations. Other studies estimated the incubation period distribution to have a mean of 6.4 days (95% CI 5.6-7.7) [3] , median of 5 days (95% CI 4.0-5.8) [4] , mean of 5.2 days (range 1.8-12.4 days) [5] , and a mean of 4.8 days (range 2-11 days) [6] .

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