--- license: cc-by-4.0 task_categories: - tabular-classification language: - en tags: - disability - rehabilitation - workforce - physiotherapy - task-shifting - synthetic - sub-saharan-africa pretty_name: Rehabilitation Workforce & Training (SSA) size_categories: - 10K ⚠️ **Synthetic dataset** — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. # Rehabilitation Workforce & Training in Sub-Saharan Africa ## Abstract Synthetic dataset modelling rehabilitation workforce cadres, training, competencies, retention, and service delivery across three tiers in SSA. 0.5-2 rehab professionals per 100K vs 60+ in HIC; <5000 physiotherapists for all SSA. ## Parameterization Evidence | Parameter | Value | Source | Year | | --- | --- | --- | --- | | 0.5-2 rehab professionals per 100K in SSA | Workforce | WHO Rehab 2030 | 2023 | | <5000 physiotherapists for all SSA | Density | WCPT | 2022 | | ~0.5 P&O per million in SSA | Specialist | ISPO | 2022 | ## Validation ![Validation Report](validation_report.png) ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/rehabilitation-workforce-training", "urban_training_institution") ``` ## References 1. WHO. Rehabilitation 2030 initiative. 2023. 2. WCPT. Physiotherapy workforce data. 2022. 3. ISPO. Prosthetics and orthotics workforce. 2022. ## Citation ```bibtex @dataset{electricsheepafrica_rehabilitation_workforce_training_2025, title={Rehabilitation Workforce and Training in Sub-Saharan Africa}, author={Electric Sheep Africa}, year={2025}, publisher={HuggingFace}, url={https://huggingface.co/datasets/electricsheepafrica/rehabilitation-workforce-training} } ``` ## License CC-BY-4.0