Vulnerability Scores for Health Financing in African Countries

A dataset proposing a multicriteria metric to assess countries' vulnerability to external aid cuts in health financing. It was created by James Avoka Asamani and published on figshare in May 2026. The framework uses four proxy health financing and macro-fiscal factors, parameterized with data from existing databases.

Use Cases

• Ranking country vulnerability to aid cuts based on the proposed four-factor framework.
• Analyzing the relationship between health financing vulnerability and Universal Health Coverage (UHC) attainment.
• Modeling the impact of health financing vulnerability on poverty levels.
• Identifying countries with high donor dependence and unfavorable macro-fiscal conditions for targeted policy dialogue.

Strengths

• Provides a novel, quantified vulnerability metric averaging almost 60% across assessed countries.
• Framework validity is supported by explaining 31.4% of variation in UHC attainment and 32.8% in poverty impact.
• Includes specific regional context, noting health expenditure per capita in the WHO African Region averaged US$125.2 with 24% external funding dependence.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (13.5 KB), indicating limited scope or aggregated summary-level data.

Provenance

Source

Data parameterized from existing databases, as per the description.

Collection Method

Polychoric principal component analysis used to derive variable weights within a proposed four-factor framework.

Time Range

Analysis references ODA trends from 2019 to 2027, but specific data years are not stated.

Freshness

Last updated 2026-05-06 17:34:48; freshness should be verified.

Geography

Focus on countries, with specific application and results discussed for the WHO African Region.