South African Hypertension Care and Cost Parameters for Policy Modeling

Aggregated, non-identifiable input parameters for modeling the hypertension care continuum in South Africa. The dataset includes epidemiological, economic, and intervention-effect data to simulate cost-effectiveness and resource allocation outcomes. Authored by Martins Nweke and last updated on April 11, 2026.

Use Cases

• Simulating hypertension intervention cost-effectiveness based on integrated economic and epidemiological parameters.
• Optimizing budget allocation for screening and treatment programs using structured decision-support inputs.
• Modeling patient outcomes across the care continuum from diagnosis to adherence.
• Conducting scenario analysis for health system planning in South Africa.

Strengths

• Dataset is 16.2 KB in size, indicating a focused and manageable set of parameters.
• Explicitly designed for policy modeling and decision-support systems, suggesting a clear purpose.
• Integrates multiple parameter types (epidemiological, economic, intervention-effect) for simulation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (16.2 KB), indicating a limited scope of parameters.

Provenance

Source

Martins Nweke via figshare

Collection Method

Likely compiled from aggregated, non-identifiable inputs across the hypertension care continuum.

Freshness

Last updated 2026-04-11 21:38:28; freshness should be verified.

Geography

South Africa