README.md

metadata

license: cc-by-4.0
task_categories:
  - tabular-classification
language:
  - en
tags:
  - disability
  - intellectual-disability
  - developmental-delays
  - early-intervention
  - special-education
  - synthetic
  - sub-saharan-africa
pretty_name: Intellectual Disability & Developmental Delays (SSA)
size_categories:
  - 10K<n<100K
configs:
  - config_name: urban_specialist_centre
    data_files: data/intdis_urban.csv
    default: true
  - config_name: district_integrated
    data_files: data/intdis_district.csv
  - config_name: rural_community
    data_files: data/intdis_rural.csv
data_type: synthetic

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

Intellectual Disability & Developmental Delays in Sub-Saharan Africa

Abstract

Synthetic dataset modelling intellectual disability causes, diagnosis, early intervention, education, and family support across three service tiers in SSA. Prevalence 1-3% globally, higher in LMICs; perinatal asphyxia, malnutrition, infections are major causes.

Parameterization Evidence

Parameter	Value	Source	Year
ID prevalence 1-3% globally; higher in LMICs	Burden	WHO	2023
Causes: asphyxia, malaria, meningitis, malnutrition	Aetiology	Lancet	2022
<0.1 psychiatrists per 100K in most SSA	Workforce	WHO Atlas	2020

Validation

Usage

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/intellectual-disability-developmental", "urban_specialist_centre")

References

1. WHO. Intellectual disability fact sheet. 2023.
2. Lancet. Developmental disabilities in SSA. 2022.
3. WHO Mental Health Atlas. 2020.

Citation

@dataset{electricsheepafrica_intellectual_disability_2025,
  title={Intellectual Disability and Developmental Delays in Sub-Saharan Africa},
  author={Electric Sheep Africa},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/intellectual-disability-developmental}
}

License

CC-BY-4.0