Analysis of 13 African National Digital Health Strategy Documents

Thirteen recent national digital health strategy documents from African countries were analyzed via computational text analysis. The dataset, created by Kimsey Zajac and last updated in May 2026, contains results from assessing the frequency and context of references to vulnerable populations. The study found most strategies focus on systemic goals while mentions of women, children, and the elderly are often indirect or rare.

Use Cases

• Benchmarking thematic priorities across national digital health strategies based on the text analysis results.
• Assessing the representation of vulnerable groups in policy documents based on the frequency of mentions.
• Identifying gaps in equity-focused planning within digital health initiatives based on the study's conclusions.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• The analysis is based on a defined corpus of 13 official strategy documents.
• The dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• The dataset's row count and specific column structure are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The data may reflect a geographic bias inherent to the 13 selected African country 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 17:23:37.

Geography

African countries (specific nations not listed).