Planning universal accessibility to public healthcare in sub-Saharan Africa

Replication code and data for the the paper "Planning universal accessibility to public healthcare in sub-Saharan Africa". The tarball contains computer code (in R and javascript) and input data to replicate or update the analysis and the figures, and the result data of baseline and sensitivity analysis model runs. Powerful (or cloud, e.g. Google Earth Engine, RStudio Cloud, or Google Collab) computing facilities are recommended for a successful replication.本数据集包含论文《撒哈拉以南非洲公共医疗服务全域可及性规划》的复现代码与配套数据。该tar压缩包内含用于复现或更新分析结果与图表的计算机代码（采用R与JavaScript语言编写）、输入数据集，以及基线分析与敏感性分析模型运行所得的结果数据。为顺利完成复现工作，建议使用高性能或云端计算设施，例如谷歌地球引擎（Google Earth Engine）、RStudio云端平台或谷歌协同编程环境（Google Collab）。