Response teams, public health programs, and field operations groups struggle to see which areas, sites, and routes are exposed when hazards, outbreaks, conflict, and access constraints overlap. Manual monitoring across multiple data sources slows operational decisions.
Aidstack Disasters consolidates global disaster data, outbreak reports, admin-area evidence, infrastructure context, and AI decision support in one visual interface so operators can move from raw signals to reviewable judgments faster.
Use the same admin-area evidence workflow across crisis response, public health, access, logistics, and field program planning without switching tools.
No custom development needed. Upload any CSV with coordinates and select which columns to analyze.
Any CSV with lat/long: sites, vaccination posts, warehouses, disease cases, etc.
Choose columns for AI analysis: population, coverage, cases, refusals, partner, etc.
Upload ACLED CSV exports and admin boundaries for area-level risk assessment and country filtering
Natural language queries: "Which admin areas need catch-up campaigns?"
Protect field staff by identifying high-risk areas before deployment
Prioritize which sites need immediate assistance during multi-disaster events
Plan campaigns and surveillance around outbreaks, population exposure, access, and security
Determine operation feasibility by analyzing security, hazard, infrastructure, and access risks
Access live GDACS disaster data, upload ACLED CSV exports from your ACLED account, and upload a shapefile with the administrative boundaries you want to analyze
Choose the admin areas that matter, then load sites, WorldPop population, OSM infrastructure, optional hazard context overlays, and nighttime lights when needed
Turn on Flood Context, Drought Context, or Nighttime Lights when needed so the workspace can use loaded evidence instead of guessing from forecast or map context alone
Use the shared admin-level analysis pipeline to compare hazard drivers, read the Operational Outlook, and rank selected admin areas in the Prioritization Board
Use the map, annotations, and decision outputs together to produce evidence-based briefings and reviewable recommendations for coordination and planning
Global Disaster Alert and Coordination System
Armed Conflict Location & Event Data Project
Disease Outbreak News
WorldPop Global 2 via Google Earth Engine
This app uses WorldPop Global 2 collections through Google Earth Engine, including total population and age-sex layers across the 2015-2030 range.