Datasets:

electricsheepafrica
/

africa-synth-disability-mental-health-psychosocial-seychelles

license: cc-by-4.0
task_categories:
  - tabular-classification
language:
  - en
tags:
  - disability
  - mental-health
  - psychosocial-disability
  - treatment-gap
  - stigma
  - synthetic
  - sub-saharan-africa
pretty_name: Mental Health & Psychosocial Disability (SSA)
size_categories:
  - 10K<n<100K
configs:
  - config_name: urban_mental_health
    data_files: data/mhpd_urban.csv
    default: true
  - config_name: district_integrated
    data_files: data/mhpd_district.csv
  - config_name: rural_traditional
    data_files: data/mhpd_rural.csv
data_type: synthetic

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

Mental Health & Psychosocial Disability in Sub-Saharan Africa

Abstract

Synthetic dataset modelling mental health conditions, treatment access, human rights issues, and psychosocial disability across three service tiers in SSA. Treatment gap 76-85%; <0.1 psychiatrists per 100K; mental health budget <1% of health budget.

Parameterization Evidence

Parameter	Value	Source	Year
Treatment gap 76-85% in SSA	Access	WHO MH Atlas	2020
<0.1 psychiatrists per 100K	Workforce	WHO MH Atlas	2020
1 in 4 affected; depression, psychosis most common	Burden	Lancet Commission	2022

Validation

Usage

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/mental-health-psychosocial-disability", "urban_mental_health")

References

WHO. Mental Health Atlas. 2020.
Lancet Commission on Global Mental Health. 2022.

Citation

@dataset{electricsheepafrica_mental_health_psychosocial_disability_2025,
  title={Mental Health and Psychosocial Disability in Sub-Saharan Africa},
  author={Electric Sheep Africa},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/mental-health-psychosocial-disability}
}

License

CC-BY-4.0