---
license: cc-by-4.0
task_categories:
- tabular-classification
- tabular-regression
language:
- en
tags:
- climate-health
- sea-level-rise
- coastal-health
- flooding
- health-infrastructure
- synthetic
- sub-saharan-africa
pretty_name: Sea-Level Rise & Coastal Health Infrastructure (SSA)
size_categories:
- 10K<n<100K
configs:
- config_name: west_africa_delta
  data_files: data/slr_west_africa_delta.csv
  default: true
- config_name: east_africa_island
  data_files: data/slr_east_africa_island.csv
- config_name: southern_coastal_city
  data_files: data/slr_southern_coastal_city.csv
data_type: synthetic
---

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

# Sea-Level Rise & Coastal Health Infrastructure in Sub-Saharan Africa

## Abstract

A synthetic dataset modelling sea-level rise impacts on coastal health infrastructure and disease outcomes across three coastal zone scenarios in SSA. Each record represents a location-year observation describing flood risk, facility damage, supply chain disruption, and disease burden. IPCC AR6 projects 0.3-1.0m global mean SLR by 2100, with African coasts among the most vulnerable due to low-lying deltas, limited adaptation, and high population density.

### Scenarios

- **West Africa Delta**: Low-lying Niger/Volta delta zones with high flood and erosion risk.
- **East Africa Island**: Indian Ocean island and coastal communities with storm surge exposure.
- **Southern Coastal City**: Urbanized coastal cities with higher baseline infrastructure but growing risk.

## Dataset Structure

Each scenario contains 10,000 records (30,000 total). Key columns:

- `elevation_m`, `slr_rate_mm_per_yr`, `cumulative_slr_cm`
- `storm_surge`, `surge_height_m`, `coastal_erosion_m_per_yr`
- `flood_risk`, `flooded`, `saltwater_intrusion`
- `facility_at_risk`, `facility_damaged`, `facility_inaccessible`
- `supply_chain_disrupted`, `essential_medicine_stockout`
- `displaced`, `population_exposed`
- `waterborne_disease`, `malaria_case`, `cholera_outbreak`, `mental_health_impact`
- `health_system_resilience`, `adaptation_score`

## Parameterization Evidence

| Parameter | Value Used | Source | Year |
| --- | --- | --- | --- |
| Global mean SLR 3-4 mm/yr | SLR rate baseline | IPCC AR6 WG1 | 2021 |
| West African coastline eroding 1-5 m/yr | Erosion rates | Appeaning Addo et al. | 2011 |
| 30% of African health facilities in climate-vulnerable zones | Facility risk | WHO-UNFCCC | 2021 |
| Flooding amplifies waterborne disease and malaria | Disease linkage | Lancet Countdown Africa | 2022 |

## Validation Summary

The 8-panel validation report (`validation_report.png`) confirms:

1. **Flood risk**: West Africa Delta has highest flood risk; elevation inversely correlated.
2. **Health impacts**: Waterborne disease and malaria highest in delta scenario.
3. **Facility risk**: Facility damage and inaccessibility track flood exposure.
4. **Elevation gradient**: Lower elevation strongly predicts higher flood risk.
5. **Supply chain**: Disruption rates highest in delta and island scenarios.
6. **Resilience**: Southern coastal cities show highest health system resilience.
7. **SLR trend**: Cumulative SLR increases over time across all scenarios.
8. **Adaptation**: Urban settings show modestly higher adaptation scores.

![Validation Report](validation_report.png)

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/sea-level-rise-coastal-health", name="west_africa_delta")
df = ds["train"].to_pandas()

print(df.groupby("flooded")[["waterborne_disease", "malaria_case"]].mean())
```

## Limitations

- **Synthetic data**: Not from tide gauges, satellite altimetry, or health facility surveys.
- **No spatial geocoding**: Scenarios proxy geography, not precise coordinates.
- **Simplified SLR model**: Linear trend; actual SLR is nonlinear with regional variation.

## References

1. IPCC. AR6 Working Group I: The Physical Science Basis. 2021.
2. Appeaning Addo K, et al. Shoreline change in Ghana's coastal zone. *Afr Geogr Rev*, 2011.
3. WHO-UNFCCC. Health and Climate Change Country Profiles. 2021.
4. Lancet Countdown on Health and Climate Change: Africa Report. 2022.

## Citation

```bibtex
@dataset{electricsheepafrica_sea_level_rise_coastal_health_2025,
  title={Sea-Level Rise and Coastal Health Infrastructure in Sub-Saharan Africa},
  author={Electric Sheep Africa},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/sea-level-rise-coastal-health}
}
```

## License

CC-BY-4.0