Author: Peter X Song; Lili Wang; Yiwang Zhou; Jie He; Bin Zhu; Fei Wang; Lu Tang; Marisa Eisenberg
Title: An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China Document date: 2020_3_3
ID: m9icky9z_96
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.02. 29 Step function of pi(t) change_time <-c("01/23/2020","02/04/2020","02/08/2020") pi0<-c(1.0,0.9,0.5,0.1) res.step <-tvt.eSIR(Y,R,begin_str="01/13/2020",death_in_R = 0.4, T_fin=200,pi0=pi0,change_time=change_time,dic=T, casename="Hubei_step",save_files = T, save_mcmc=F,M=5e2,nburnin = 2e2) res.step$plot_infection res.step$plot_removed re.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.02. 29 Step function of pi(t) change_time <-c("01/23/2020","02/04/2020","02/08/2020") pi0<-c(1.0,0.9,0.5,0.1) res.step <-tvt.eSIR(Y,R,begin_str="01/13/2020",death_in_R = 0.4, T_fin=200,pi0=pi0,change_time=change_time,dic=T, casename="Hubei_step",save_files = T, save_mcmc=F,M=5e2,nburnin = 2e2) res.step$plot_infection res.step$plot_removed res.step$dic_val ### continuous exponential function of pi(t) res.exp <-tvt.eSIR(Y,R,begin_str="01/13/2020",death_in_R = 0.4, T_fin=200,exponential=TRUE,dic=F,lambda0=0.05, casename="Hubei_exp",save_files = F,save_mcmc=F, M=5e2,nburnin = 2e2) res.exp$plot_infection #res.exp$plot_removed ### without pi(t), the standard state-space SIR model without intervention res.nopi <-tvt.eSIR(Y,R,begin_str="01/13/2020",death_in_R = 0.4, T_fin=200,casename="Hubei_nopi",save_files = F, M=5e2,nburnin = 2e2) res.nopi$plot_infection #res.nopi$plot_removed All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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