Selected article for: "gamma distribution and generation interval"
Author: Sang Woo Park; Kaiyuan Sun; Cécile Viboud; Bryan T Grenfell; Jonathan Dushoff
Title: Potential roles of social distancing in mitigating the spread of coronavirus disease 2019 (COVID-19) in South Korea
  • Document date: 2020_3_30
    • ID: 7t3ci8tl_9
    Snippet: where I t is the reconstructed incidence time series (i.e., the number of infected cases on day t) and w k is the generation-interval distribution randomly drawn from a prior distribution (Table 1) . We weighted each sample of R t by a gamma probability distribution with a mean of 2.6 and a standard deviation of 2 to reflect prior knowledge [17] and took weighted quantiles to calculate the medians and associated 95% credible intervals. We estimat.....
    Document: where I t is the reconstructed incidence time series (i.e., the number of infected cases on day t) and w k is the generation-interval distribution randomly drawn from a prior distribution (Table 1) . We weighted each sample of R t by a gamma probability distribution with a mean of 2.6 and a standard deviation of 2 to reflect prior knowledge [17] and took weighted quantiles to calculate the medians and associated 95% credible intervals. We estimated R t between February 2, 2020 (14 days after the first confirmed case was imported) and March 10, 2020 (after this point the effects of censoring are too strong for reliable estimates).

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