Additional file 4. Costing models by intervention and scope. The folder contains Stata do-files that detail how operational details as per Additional file 1, are combined with information on prices an
SSA-Sub Saharan and Southern Africa, SEA-South and South-East Asia. 1These cost-effectiveness results are for the whole region in SSA, and for populations at risk of malaria only in SEA; 2Usual practi
Additional file 4. Costing models by intervention and scope. The folder contains Stata do-files that detail how operational details as per Additional file 1, are combined with information on prices an
Additional file 4. Costing models by intervention and scope. The folder contains Stata do-files that detail how operational details as per Additional file 1, are combined with information on prices an
该数据集包含世界卫生组织全球健康观察站(WHO GHO)指标疟疾国内支出(MALARIA_NMCP_CALCULATIONS)在非洲国家的国家级观察数据,时间跨度为2015年至2024年。它是Electric Sheep Africa集合的一部分,这是一个统一的、适合机器学习使用的非洲数据仓库。数据直接来源于WHO Global Health Observatory的OData API,并以Par