AdegbehingbeGodwin/Nigeria-health-risk-dashboard

click this link: adegbehingbegodwin-nigeria-… # Nigeria Health Risk Surveillance Dashboard ## Overview The Nigeria Health Risk Surveillance Dashboard is an interactive web application built with Shiny for Python that visualizes health-related risk factors across Nigerian states. This dashboard provides a comprehensive view of various health risks in Nigeria, enabling data-driven decision making for public health interventions. ## Features - **Interactive Choropleth Map**: Visualize risk levels across all Nigerian states - **Risk Categories**: Toggle between overall health risk and INFORM risk indicators - **Specific Risk Factors**: Drill down into specific risk components - **Responsive Design**: Works on different screen sizes and devices - **Fullscreen and Measurement Tools**: Enhanced map navigation features - **Detailed State Information**: Hover over states to see detailed statistics ## Risk Categories ### Overall Health Risk - Very High Risk (5) - High Risk (4) - Medium Risk (3) - Low Risk (2) - Very Low Risk (1) ### INFORM Risk Indicators - Uprooted People Risk - Healthcare Access Risk - Political Violence Risk - Flood Exposure Risk ## Prerequisites To run this application, you need to install the following Python packages: - `shiny` - `folium` - `pandas` - `branca` Install these dependencies using pip: ```bash pip install shiny folium pandas branca ``` ## Installation 1. Clone or download this repository to your local machine 2. Ensure all prerequisites are installed 3. Place the required GeoJSON files in the project directory: - `NGA_State_Boundaries_V2_-2781486175142980418.geojson` - `nigeria_states_spatial.geojson` 4. Navigate to the project directory in your terminal 5. Run the application using the command: ```bash python app.py ``` ## Usage 1. Upon launching the application, you'll see an interactive map of Nigeria 2. Use the sidebar to select: - Risk category (Overall Health Risk or INFORM Risk Indicators) - Specific risk factor to display 3. The map will update in real-time to r …