--- license: cc-by-4.0 task_categories: - tabular-classification language: - en tags: - disability - visual-impairment - blindness - cataract - ophthalmology - synthetic - sub-saharan-africa pretty_name: Visual Impairment & Low Vision Services (SSA) size_categories: - 10K ⚠️ **Synthetic dataset** — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. # Visual Impairment & Low Vision Services in Sub-Saharan Africa ## Abstract Synthetic dataset modelling visual impairment causes, eye care access, cataract surgery rates, spectacle coverage, and outcomes across three service tiers in SSA. 26M visually impaired in Africa; 80% avoidable; SSA has lowest ophthalmologist density (2.7 per million). ## Parameterization Evidence | Parameter | Value | Source | Year | | --- | --- | --- | --- | | 26M visually impaired in Africa; 4.8M blind | Burden | WHO | 2023 | | 80% avoidable; cataract leading cause | Causes | Lancet Global Health | 2021 | | 2.7 ophthalmologists per million in SSA | Workforce | IAPB Vision Atlas | 2023 | | Rehabilitation access 3-62% in LMICs | Access | PMC6210163 | 2018 | ## Validation ![Validation Report](validation_report.png) ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/visual-impairment-low-vision", "urban_eye_clinic") ``` ## References 1. WHO. World report on vision. 2023. 2. Lancet Global Health. Causes of blindness in SSA. 2021. 3. IAPB Vision Atlas. Eye health workforce. 2023. ## Citation ```bibtex @dataset{electricsheepafrica_visual_impairment_low_vision_2025, title={Visual Impairment and Low Vision Services in Sub-Saharan Africa}, author={Electric Sheep Africa}, year={2025}, publisher={HuggingFace}, url={https://huggingface.co/datasets/electricsheepafrica/visual-impairment-low-vision} } ``` ## License CC-BY-4.0