Health Financing Vulnerability to Aid Cuts in Africa, 2019-2027

A 2026 dataset by James Avoka Asamani analyzes the vulnerability of health systems in the WHO African Region to external aid cuts from 2019 to 2027. It likely contains metrics derived from four proxy health financing and macro-fiscal factors, parameterized using polychoric principal component analysis. The dataset is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Assessing country vulnerability to aid cuts based on health expenditure per capita and external funding dependence.
• Modeling the relationship between health financing vulnerability and Universal Health Coverage (UHC) attainment.
• Analyzing the interplay between debt distress risk, public spending trends, and health system resilience.
• Prioritizing interventions for vulnerable populations based on a multicriteria vulnerability framework.

Strengths

• Includes specific metrics: health expenditure per capita averaged US$125.2, with 24% external funding dependence.
• Provides concrete vulnerability scores averaging 60% across countries, with a range from 23% to 92%.
• Framework validity is explored, explaining 31.4% of UHC attainment variation and 32.8% of poverty impact variation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 62.1 KB file size indicates a very limited scope, likely containing summary or index data rather than raw observations.

Provenance

Source

James Avoka Asamani via figshare.

Collection Method

Data parameterized from existing databases using a proposed analytical framework.

Time Range

2019 to 2027 (with projections).

Freshness

Last updated 2026-05-06 17:34:30; freshness should be verified.

Geography

WHO African Region.