Author: Jingbo LIANG; Hsiang-Yu Yuan
Title: The impacts of diagnostic capability and prevention measures on transmission dynamics of COVID-19 in Wuhan Document date: 2020_4_6
ID: 1cpli8kv_25
Snippet: The posterior distributions of epidemiological parameters were obtained using an SMC algorithm implemented in the Nimble R library. The priors for parameters in the modelfilter frameworks were drawn from the following distributions: for the incubation time,1/σ~U(1,10); for the latent time,η~U(1,7); 1/q~U(1,10), for the time from onset to quarantine; β 0~U (0,1) for transmission rate baseline; and α~N(0,1), for transportation control coefficie.....
Document: The posterior distributions of epidemiological parameters were obtained using an SMC algorithm implemented in the Nimble R library. The priors for parameters in the modelfilter frameworks were drawn from the following distributions: for the incubation time,1/σ~U(1,10); for the latent time,η~U(1,7); 1/q~U(1,10), for the time from onset to quarantine; β 0~U (0,1) for transmission rate baseline; and α~N(0,1), for transportation control coefficient.
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