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 Colab) computing facilities are recommended for a successful replication.本数据集为论文《撒哈拉以南非洲全民公共医疗可及性规划（Planning universal accessibility to public healthcare in sub-Saharan Africa）》的复现代码与配套数据。该压缩包涵盖用于复现或更新该研究分析及图表的计算机代码（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生成的结果数据。为保障复现工作顺利完成，建议使用高性能计算设施或云平台（如Google Earth Engine、RStudio Cloud、Google Colab）。