Selected article for: "Epidemiological Models and SIR model"
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_33
    Snippet: We deliver an R software package that is able to output the MCMC estimation, inference and prediction under the epidemiological model with two proposed extended SIR models that incorporate time-varying quarantine protocols. These new models have been discussed in detail in Sections 2.2 and 2.3. Our R package, named eSIR, uses daily-updated time series of infected and removed proportions as input data. The R package is available at GitHub lilywang.....
    Document: We deliver an R software package that is able to output the MCMC estimation, inference and prediction under the epidemiological model with two proposed extended SIR models that incorporate time-varying quarantine protocols. These new models have been discussed in detail in Sections 2.2 and 2.3. Our R package, named eSIR, uses daily-updated time series of infected and removed proportions as input data. The R package is available at GitHub lilywang1988/eSIR, and its user manual is appended as the supplementary material of this paper. The quarantine functions are predefined and will be treated as known functions of protocols/policies in the estimation and 9 All rights reserved. No reuse allowed without permission.

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