Averted Healthcare Costs from HIV, TB, and Malaria Scale-Up, 2000–2023

Global estimates of averted primary healthcare utilization and costs resulting from scaled-up HIV, tuberculosis, and malaria services. The dataset compares an actual intervention scenario against a hypothetical constant coverage scenario. Created by Jiaying Stephanie Su and published on figshare in 2026, it covers the period from 2000 to 2023.

Use Cases

• Model cost savings by comparing 'actual scenario' and 'constant coverage scenario' cost columns.
• Analyze trends in averted healthcare utilization over the 2000–2023 time series.
• Assess the relative impact of scaled-up services for HIV, TB, and malaria across different metrics.

Strengths

• 24-year time series from 2000 to 2023.
• Directly compares two policy scenarios (actual vs. constant coverage).
• Published under a permissive CC-BY-4.0 license.

Limitations

• Dataset is extremely small at 17.5 KB, indicating limited detail or aggregation.
• Specific row count, column names, and geographic granularity are unknown.
• Model-based estimates may not reflect localized, real-world billing data.

Provenance

Source

figshare, authored by Jiayah Stephanie Su.

Collection Method

Model-based estimates comparing intervention scenarios.

Time Range

2000 to 2023.

Freshness

Last updated in April 2026, indicating recent modeling or compilation.

Geography

Likely global or multi-country, but specific scope is not stated.