📊 Postpartum Depression in Kenya: A Data-Driven Crisis Analysis
Unmasking Silent Suffering Through Data
A deep dive into the sociodemographic, clinical, and psychosocial factors driving postpartum depression (PPD) among Kenyan mothers—where rates reach 39.96% in high-risk regions.
🌐 Explore the Interactive Report
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## 🔍 Project Summary
**Postpartum Depression in Kenya** is a data analysis initiative exposing the hidden epidemic affecting **22.1% of African mothers** (vs. 13% globally). Using clinical and sociodemographic datasets, this project identifies:
- **Key risk factors**: Unplanned pregnancy, family conflict, and physiological stress markers (BP, blood sugar).
- **Critical intervention windows**: Months 5 and 13 postpartum, when mental health relapses peak.
- **Systemic gaps**: 80% of cases go undiagnosed due to stigma and fragmented healthcare.
By linking data to actionable solutions, this work aims to **reduce PPD cases by 30%** and save Kenya’s healthcare system **$2.4M annually per 100,000 births**.
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## 🎯 Key Objectives
1. **Identify High-Risk Groups**: Young mothers (18–24), unemployed women, and those with low education face 2x higher PPD rates.
2. **Decode Symptom Clusters**: Guilt, bonding issues, and suicidal ideation signal severe PPD (p **"Data without action is noise. This project is a call to prioritize maternal mental health—before more lives are lost to silence."**