Ongoing project, soon will be in my portfolio
# Zimbabwe DHS 2015: Community Sanitation & Child Diarrhea Analysis
## 📋 Project Overview
This project analyzes the relationship between community-level sanitation coverage and child diarrhea prevalence using Zimbabwe DHS 2015 data.
### Research Question
> Does the sanitation level of a child's neighborhood affect their risk of diarrhea, independent of their own household's sanitation?
## 🗂️ Repository Structure
```
zimbabwe-dhs-analysis/
├── data/
│ ├── raw/ # Original DHS files (not tracked in git)
│ └── processed/ # Cleaned intermediate files
├── scripts/
│ ├── 01_data_loading.py
│ ├── 02_household_processing.py
│ ├── 03_cluster_aggregation.py
│ ├── 04_child_preparation.py
│ ├── 05_data_merging.py
│ └── 06_analysis.py
├── outputs/
│ ├── figures/
│ ├── tables/
│ └── policy_brief.md
├── docs/
├── .github/
│ └── copilot-instructions.md
├── prompts/ # AI prompts for each phase
├── requirements.txt
└── README.md
```
## 🚀 Quick Start
1. **Clone repository**
```bash
git clone
github.com
```
2. **Install dependencies**
```bash
pip install -r requirements.txt
```
3. **Run analysis pipeline**
```bash
python scripts/01_data_loading.py
python scripts/02_household_processing.py
python scripts/03_cluster_aggregation.py
python scripts/04_child_preparation.py
python scripts/05_data_merging.py
python scripts/06_analysis.py
```
## 📊 Key Outputs
- `cluster_metrics.csv` — Cluster-level indicators
- `spatial_maps.png` — Hotspot visualization
- `regression_results.txt` — Statistical model output
- `policy_brief.md` — Executive summary
## 📚 Data Sources
- **Survey Data**: Zimbabwe DHS 2015
- **Geographic Data**: DHS GPS dataset (displaced for privacy)
- **Geospatial Covariates**: DHS Spatial Data Repository
## 🔒 Data Access
Raw DHS data requires registration at dhsprogram.com. Processed outputs are included in this repository.
## 📝 License
This …