Health Service Disruption Mapping

Interactive visualization of health service disruptions across administrative areas with bilingual support (English/French).

Overview

This application allows health analysts to visualize and compare actual vs expected service volumes for 52+ health indicators. It supports data from multiple countries and provides tools for identifying service disruptions at various administrative levels.

Features

• Multi-country support: Currently includes DRC, Haiti, Ethiopia, Cameroon, Ghana, Guinea, Liberia, Senegal, Sierra Leone, Somalia, and Somaliland
• 52+ health indicators: Vaccination, maternal health, nutrition, and more
• Bilingual interface: English and French
• Interactive maps: Choropleth maps with customizable color scales
• Multi-indicator comparison: Side-by-side comparison of 2 indicators
• Export capabilities: Download maps as PNG images
• Year-on-year analysis: Compare current period to previous year

Quick Start

1. Go to the app on Hugging Face
2. Select a country from the dropdown
3. Upload your disruption data CSV file (M3 output)
4. Select year and indicator
5. View and export your map

Data Source

This app visualizes outputs from the FASTR Analytics Platform - a web-based tool for data quality assessment, adjustment, and analysis of routine health data from DHIS2 and other sources.

Tab	Input	Documentation
Disruption Map	M3 output	Service Utilization
Multi-Indicator	M3 output	Service Utilization
Year-on-Year	M2 output	Data Quality Adjustment
Heatmap	M3 output	Service Utilization

Data Requirements

Required CSV columns:

• admin_area_2 or admin_area_3: Administrative area name
• indicator_common_id: Indicator identifier
• year: Year of data
• count_sum: Actual service count
• count_expect_sum: Expected service count

See Data Format for detailed specifications.

Support

For issues or questions, please open an issue on GitHub.