joanjosh17/Universal-Health-Coverage-Readiness-Index-for-Nigeria

Universal HCR Index for Nigeria assesses states' preparedness for achieving universal health coverage using healthcare access, workforce, infrastructure, financing, and service delivery indicators. It applies data analytics and machine learning to identify disparities, rank readiness, and support evidence-based health policy decisions # 🏥 Universal Health Coverage Readiness Index in Nigeria > An end-to-end **public health data science pipeline** that builds a Universal Health Coverage Readiness Index (UHCRI) for Nigeria from ~5,000 synthetic state-level healthcare, demographic, infrastructure, and financing records combining **classification and regression modelling, hyperparameter tuning, and SHAP-based explainability** to reveal which healthcare indicators most influence UHC readiness across Nigerian states. --- ## 📌 Overview Universal Health Coverage (UHC) is a global health priority under **Sustainable Development Goal (SDG) 3.8**, ensuring that everyone has access to quality healthcare services without suffering financial hardship. This project develops a **Universal Health Coverage Readiness Index (UHCRI)** for Nigeria using synthetic healthcare, demographic, infrastructure, and financing indicators. Through advanced data analytics and machine learning, the project evaluates healthcare readiness across Nigerian states, identifies disparities, predicts readiness categories, and provides insights that can support evidence-based health policy and strategic planning. > **Note:** This project uses a realistic **synthetic dataset** created solely for educational, research, and portfolio purposes. --- ## 🎯 Objectives - Assess **Universal Health Coverage readiness** across Nigerian states - Analyse **healthcare infrastructure** and **workforce distribution** - Measure **healthcare accessibility** and **financial protection** - Predict **UHC readiness** using machine learning (classification & regression) - Identify the **most influential healthcare indicators** driving readiness - Support **evidence-based public health decision-making** - Demonstrate an **end-to-end public health data science workflow** --- ## 🗂️ Dataset A realistic **synthetic dataset** of approximately **5,000 observations** representing healthcare indicators across Nigeria no real patient or facility-lev …