lagzini/SIR-Ebola-DA-MCMC-Code: v1.0.0

Initial Release This is the first public release of the MATLAB code and data supporting the manuscript: "Bayesian and Frequentist Inference for Partially Observed Stochastic SIR Epidemic Models with Application to Ebola in Sierra Leone" Contents This release includes: MATLAB code for simulation of partially observed stochastic SIR epidemic models. Gillespie's stochastic simulation algorithm for generating SIR epidemic trajectories. Data-augmentation MCMC (DA-MCMC) methodology for Bayesian inference. Estimation of the basic reproduction number R0. MATLAB code for the real-data application to the 2014–2016 Ebola outbreak in Sierra Leone. Data files used in the Sierra Leone Ebola analysis. Repository Structure simulation/: MATLAB code for the simulation study and Gillespie algorithm. real_data/: MATLAB code and data for the Ebola application. README.md: documentation and instructions. LICENSE: MIT License. Version Version 1.0.0.