African National Digital Health Strategy Text Analysis, 13 Documents

13 recent national digital health strategy documents from African countries were analyzed via computational text analysis. The study by Kimsey Zajac, last updated in May 2026, investigates how these strategies consider vulnerable populations at risk of digital exclusion. The dataset likely contains the results of this analysis, such as topic frequencies or coded references.

Use Cases

• Assessing thematic priorities in digital health strategies based on the computational text analysis described.
• Evaluating the frequency of references to vulnerable groups like women, children, and the elderly based on the study's systematic assessment.
• Analyzing the relationship between broad infrastructural goals and equity-focused actions mentioned in the strategy documents.

Strengths

• The dataset is based on a defined corpus of 13 national strategy documents.
• The analysis methodology (computational text analysis) is explicitly stated in the description.
• The dataset is small (5.5 KB), facilitating quick inspection and download.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope or a summary-level analysis.
• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The description does not specify the exact African countries or publication years covered by the strategies.

Provenance

Source

figshare, author Kimsey Zajac

Collection Method

Computational text analysis of 13 national digital health strategy documents.

Freshness

Last updated 2026-05-19 17:23:35; freshness should be verified.

Geography

African countries (specific nations not listed)