Aryan-lomte05/Africa-Disease-Tracker-FGA-Proj1

This is a Disease Tracker made for Africa in our First H-FGA session # 🌍 Africa Disease Tracker A comprehensive, production-ready disease tracking system for Africa featuring interactive maps, WHO API integration, and 10+ classical epidemiological visualizations. --- ## 🎯 Features ### Core Capabilities - 🗺️ **Interactive Disease Maps** - Choropleth maps showing disease prevalence across 54 African countries - 📊 **10+ Classical Visualizations** - Time-tested public health charts used by epidemiologists - 🦟 **Multi-Disease Support** - Malaria, HIV/AIDS, Tuberculosis, COVID-19 - 👥 **Comprehensive Demographics** - Age groups, gender, family size, pregnancy data - 📈 **Time-Series Analysis** - Daily/Monthly/Yearly trends with seasonal patterns - 🌐 **WHO API Integration** - Real-time data from Global Health Observatory ### Classical Epidemiological Visualizations 1. ✅ Choropleth Disease Prevalence Map 2. ✅ Incidence Rate Heatmap (Country × Time) 3. ✅ Age Pyramid with Disease Overlay 4. ✅ Mortality vs Incidence Scatter Plot 5. ✅ Seasonal Trend Line (Multi-Year) 6. ✅ Small Multiples (Country-wise Comparisons) 7. ✅ Disease Burden Stacked Area Chart 8. ✅ Gender Disparity Analysis 9. ✅ Urban vs Rural Comparison 10. ✅ Excess Mortality Assessment --- ## 🚀 Quick Start ### Local Development ```bash # Clone the repository git clone github.com cd africa-disease-tracker # Install dependencies pip install -r requirements.txt # Run the dashboard streamlit run app.py ``` Dashboard will be available at **http://localhost:8501** ### Deploy to Streamlit Cloud 1. Push this repo to GitHub 2. Go to share.streamlit.io 3. Connect your GitHub account 4. Select this repository 5. Click "Deploy" --- ## 📁 Project Structure ``` africa-disease-tracker/ ├── app.py # Main Streamlit application ├── config.py # Configuration (diseases, countries, colors) ├── utils.py # Utility functions & custom CSS ├── data_fetcher.py # WHO API integration & data processin …