Selected article for: "case incubation period and skew parameter"
Author: Joel Hellewell; Sam Abbott; Amy Gimma; Nikos I Bosse; Christopher I Jarvis; Timothy W Russell; James D Munday; Adam J Kucharski; W John Edmunds; CMMID nCoV working group; Sebastian Funk; Rosalind M Eggo
Title: Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts
  • Document date: 2020_2_11
    • ID: a8ig607t_22
    Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.02.08.20021162 doi: medRxiv preprint The incubation period for each case was drawn from a Weibull distribution. A corresponding serial interval for each case was then drawn from a skewed normal distribution with the mean parameter of the distribution set to the incubation period for that case, a standard deviation of 2, and a skew parameter chosen such that a set proportion of .....
    Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.02.08.20021162 doi: medRxiv preprint The incubation period for each case was drawn from a Weibull distribution. A corresponding serial interval for each case was then drawn from a skewed normal distribution with the mean parameter of the distribution set to the incubation period for that case, a standard deviation of 2, and a skew parameter chosen such that a set proportion of serial intervals were shorter than the incubation period (meaning that a set proportion of transmission happened before symptom onset) ( Figure 2 ). This sampling approach ensured that the serial interval and incubation period for each case was correlated, and prevents biologically implausible scenarios where a case can develop symptoms very soon after exposure but not become infectious until very late after exposure and vice versa.

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