SUNEXUS-Tech/child-mortality-survival-analysis

Python code for Synthetic dataset generator for survival analysis of child mortality in rural vs urban Nigeria. # 🍼 Survival Analysis of Child Mortality (Synthetic Dataset) This repository contains a **Python-based synthetic dataset generator** designed to simulate child mortality outcomes in **Rural vs Urban areas** of Nigeria. It was developed for **academic and research purposes**, specifically for survival analysis projects when real-world survey data (e.g., NDHS) is not immediately accessible. --- ## 📖 Project Overview Child mortality is a critical indicator of population health, influenced by socio-economic and environmental factors. This synthetic dataset mimics the structure of survey data by including key variables: * **Survival Variables** * `time` → Survival time (in months) until event/censoring * `event` → Mortality status (1 = child died, 0 = censored/alive) * **Demographics & Household Variables** * `area` → Rural vs Urban (focus variable for comparison) * `sex` → Male/Female * `mother_age` → Age of mother at child’s birth * `education_level` → Mother’s education (None, Primary, Secondary, Higher) * `household_income` → Simulated household economic level * `access_healthcare` → Binary indicator of healthcare access * `water_source` → Type of water source (Safe/Unsafe) * `sanitation` → Sanitation facility (Improved/Unimproved) --- ## 🛠️ Features * Generates **10,000+ rows of synthetic survey-like data**. * Captures the contrast between **rural and urban areas**. * Built using **NumPy** and **Pandas** (lightweight, reproducible). * Output saved as a clean CSV file for analysis in Python, R, Stata, or SPSS. --- ## 🚀 Usage ### 1. Install Requirements ```bash pip install numpy pandas ``` ### 2. Run Script ```bash python synthetic_child_mortality.py ``` ### 3. Output * The script generates a file named: ``` synthetic_child_mortality.csv ``` * You can open this file in **Excel**, **Python**, **R**, or any statistical package. --- ## 📊 Applications * Survival analysis (Kaplan–Meier, Cox regression). * Comparative studies: Rural vs Urban child mor …