---
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

![Validation Report](validation_report.png)

## Usage

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

## References

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

## Citation

```bibtex
@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