Author: Julien Riou; Chiara Poletto; Pierre-Yves Boëlle
Title: Improving early epidemiological assessment of emerging Aedes-transmitted epidemics using historical data Document date: 2018_4_16
ID: 7gh1yzaa_13
Snippet: The R and L priors were derived from the analysis of datasets D2 and D3 in three steps. We rst analysed jointly the three CHIKV epidemics in dataset D2 using model 1, introducing a two-level hierarchical structure for the island-specic parameters: an island-specic reproduction number R 0,C,i sampled from a top-level regional distribution N (µ R 0 ,C , σ R 0 ,C ), and similarly logit(Ï C,i ) ∼ N (µ Ï C , σ Ï C ) for the logit of the repor.....
Document: The R and L priors were derived from the analysis of datasets D2 and D3 in three steps. We rst analysed jointly the three CHIKV epidemics in dataset D2 using model 1, introducing a two-level hierarchical structure for the island-specic parameters: an island-specic reproduction number R 0,C,i sampled from a top-level regional distribution N (µ R 0 ,C , σ R 0 ,C ), and similarly logit(Ï C,i ) ∼ N (µ Ï C , σ Ï C ) for the logit of the reporting rate. We obtained the posterior distributions of these parameters for the CHIKV outbreaks in each island Ï€(R 0,C,i , Ï C,i |D2), as well as that of the hyperparameters Ï€(µ R 0 ,C , σ R 0 ,C , µ Ï,C , σ Ï,C |D2).
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