walawala254/-Geographically-Weighted-Random-Forest-GWRF-Dashboard

Spatial Analysis of Childhood Vaccination Determinants in Kenya # 🌍 Geographically Weighted Random Forest (GWRF) Dashboard ## **Spatial Analysis of Childhood Vaccination Determinants in Kenya** 🔗 **Live Dashboard:** View Here --- ## 📌 Project Overview This project applies **Geographically Weighted Random Forest (GWRF)**, an advanced spatial machine learning technique, to uncover the determinants of childhood vaccination uptake in Kenya. Using nationally representative **Kenya Demographic and Health Survey (KDHS 2022)** data, we explored how factors such as **maternal education, poverty, ethnicity, transport access, and residence type** influence vaccination rates—while accounting for **spatial heterogeneity** across Kenya’s 47 counties. The results are deployed in an **interactive dashboard** that allows users to: ✅ Visualize county-level disparities in vaccination coverage ✅ Explore spatial autocorrelation patterns ✅ Investigate the importance of local determinants (e.g., transport, wealth, electricity, ethnicity) ✅ Support **policy makers, public health practitioners, and researchers** in designing targeted interventions --- ## 🚀 Motivation Vaccination remains one of the most cost-effective public health interventions, yet disparities persist in Kenya. Understanding *where* and *why* uptake is low is crucial to achieving equitable health outcomes. This project bridges **data science, geospatial analysis, and health research** to provide actionable insights that go beyond national averages—helping identify **localized barriers and opportunities**. --- ## 🛠️ Methodology - **Data Source:** Kenya Demographic and Health Survey (2022) - **Target Variable:** Childhood vaccination status (fully vaccinated vs. not) - **Model:** Geographically Weighted Random Forest (GWRF) - Captures **non-linear relationships** - Accounts for **spatial non-stationarity** - **Evaluation Metrics:** Mean Squared Error (MSE), R², Moran’s I (spatial dependence) - **Deployment:** Interactive web app/dashboard --- ## 📊 Key Insights - Significant **s …