Transparency for global health aid: 60% of disease burden draws just 2.5% of targeted funds, analysis reveals

To what extent does the allocation of aid for combating disease correspond to disease burden? LMU researchers have developed a machine-learning pipeline that helps uncover relative discrepancies in aid distribution.