nbanho/hiv_funding_effectiveness

Estimating the effect of development assistance and domestic funding on new infections with HIV in Sub-Saharan Africa # Estimating the effect of development assistance and domestic funding on new infections with HIV in Sub-Saharan Africa This repository contains code and data to reproduce the results from the paper "Estimating the effect of development assistance and domestic funding on new infections with HIV in Sub-Saharan Africa". ## Data A preprocessed data file containing all data used for analysis is provided in `data/preprocessed/data.csv`. The file includes the following variables: - rcpt = ISO-3 country code - year = year - hiv_new_* = new infections with HIV by age group - hiv_living_* = people living with HIV by age group - hiv_incidence_* = incidence with HIV by age group (new infections per 1,000 population) - std = official development assistance (ODA) funding for sexually transmitted diseases (USD) - dom = domestic funding for HIV (USD) - edu = education - gdp = log gross domestic product (USD per capita) - pop = population - dens = log population density - mat = maternal mortality per capita - fd_* = first difference of control variables (log changes for all but education) - pop30_est = median estimate from the UN for the population in 2030 The raw data is provided in the folder data `data/raw/`. Running `preprocessing.r` generates all preprocessed data files in the folder `data/preprocessed`. ## Model Models were developed in the probabilistic programming language STAN and provided in the folder `models`. The model used for the main analysis is `active_funding_notr_me.stan`. - To run any model, you need to have `CmdStan` installed together with `CmdStanR` in order execute STAN models from R. - To run the main model from Terminal in Linux, direct into the main directory of the repository and run the following command: `Rscript main_model.R active_funding_notr_me hiv_new_adult 6`. - Analogously, to run the full sensitivity analysis, use the following command: `Rscript sensitivity_analysis.R all` By default, results from the main analysis will be saved into ` …