Latest
Multi-source news from humanitarian agencies, media outlets and conflict monitoring.
Precipitation Anomalies
30-day vs 5yr avgNDVI Climate Stress
Vegetation Index| Country | Alert |
|---|---|
| Afghanistan | SEVERE |
| Syrian Arab Republic | SEVERE |
| Mongolia | SEVERE |
| Viet Nam | SEVERE |
| Uganda | MODERATE |
| Armenia | MODERATE |
| Bhutan | MODERATE |
| Iraq | MODERATE |
| Nigeria | MODERATE |
| Cambodia | MODERATE |
| Morocco | MODERATE |
| Central African Republic | MODERATE |
| Somalia | MODERATE |
| Tajikistan | MODERATE |
| Kyrgyzstan | MODERATE |
| United Republic of Tanzania | MODERATE |
| Sierra Leone | MODERATE |
| Uzbekistan | MODERATE |
| Jordan | MODERATE |
| Lao People's Democratic Republic | MODERATE |
| Guinea | MODERATE |
| Iran (Islamic Republic of) | MODERATE |
| Rwanda | MODERATE |
| Benin | MODERATE |
| Ukraine | MODERATE |
| Peru | MODERATE |
| Lebanon | MODERATE |
Media Spike Alerts
Z-Score > 1.0How Spikes Work
GDELT Real-timeZ-Score = (7d avg - 30d avg) / baseline std. Spikes often precede crises by 24-72 hours.
Currency Devaluation
vs USDInternally Displaced Persons
IOM DTM| Country | IDPs |
|---|---|
| Sudan | 9.1M |
| Syrian Arab Republic | 6.0M |
| Bangladesh | 5.0M |
| Ukraine | 3.4M |
| Somalia | 3.3M |
| Afghanistan | 3.1M |
| Yemen | 3.1M |
| South Sudan | 2.0M |
| Ethiopia | 1.9M |
| Haiti | 1.5M |
| Nigeria | 1.3M |
| Iraq | 1.0M |
| Mozambique | 0.6M |
| Pakistan | 0.5M |
| Cameroon | 0.5M |
| Central African Republic | 0.4M |
| Mali | 0.4M |
| Democratic Republic of the Congo | 0.3M |
| Niger | 0.2M |
| Chad | 0.2M |
WHO Disease Outbreaks
DONAuto-generated situations where risk indicators, media spikes and operational reports converge.
Humanitarian Updates
ReliefWebTopic Reports
ReadyStrategic Outlook
AI-generated predictive analysisProprietary demand pressure analysis combining real-time food consumption data from 80 countries with commodity market indicators. Signals are validated against historical price movements.
Predictions powered by a proprietary 3-model machine learning ensemble trained on 7 years of food consumption data. The system analyzes patterns across 80 countries to forecast insecurity trends 90 days ahead.
Country Predictions
| Country | Region | FCS% | rCSI% | Proxy | 90d Change | Projected | Trend |
|---|---|---|---|---|---|---|---|
| Loading predictions... | |||||||