AI Summary

A study by LMU researchers used a machine‑learning pipeline to compare the allocation of global health aid with the actual disease burden. The analysis found that 60 % of the disease burden receives only 2.5 % of targeted funding. The authors note that, despite substantial overall aid spending, the distribution is highly mismatched, especially in low‑ and middle‑income countries where health systems are under‑funded. This misalignment suggests that current aid strategies are not aligned with the United Nations Sustainable Development Goals for health.

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