SwissTPH/Game_theory_rabies

Code used for the simulations, data analysis and sensitivity analysis for the article "Benefit-cost analysis of coordinated strategies for control of rabies in Africa" # Game_theory_rabies Code used for the simulations, data analysis and sensitivity analysis for the article "Benefit-cost analysis of coordinated strategies for control of rabies in Africa" (DOI: doi.org) by Alvar Bucher, Artemiy Dimov, Günther Fink, Nakul Chitnis, Bassirou Bonfoh and Jakob Zinsstag. ## List of folders and files ### I. Download the repository and the data 1. To download the repository from GitHub please follow this link: Game_theory_rabies 2. Click on the green button "Code" and select "Download ZIP" 3. Unpack the zip file and place the folder `Game_theory_rabies` in the folder where you want to run the simulations 3. To download the images and the results from the simulations, please follow this link: Game_theory_rabies_results 4. Unpack the zip files and place the unpacked folders `original_img` and `original_results` in the folder `Game_theory_rabies` > **Note** > If you want to replicate the results from the original article without running the sensitivity analysis > and the Monte-Carlo simulations, please use the data from the folder `original_results` by specifying the parameters > '2' during the execution of the script `post_treatment.py` (see part 4.2 below). ### II. Folders' structure and description of the folders ``` . ├───data : Contains data used for the simulations │ ├───img : Generated figures for the manuscript and the supplementary material │ ├───all_vac : Individual plots for countries' payoff distributions for the strategy profile "All vaccinate" │ ├───inputs_dist: Plots of input distributions for the sensitivity analysis and Monte-Carlo simulations per country │ └───one_vac : Individual plots for countries' payoff distributions for the strategy profile "One vaccinate" │ ├───results : Results from the simulations and post-treated results (compiled or revised results) │ ├───dog_population : Results from the Monte-Carlo simulations for the dog population (monte_carlo_baseline_populati …