Epidemic Oracle harmonizes diverse epidemiological data streams—from WHO global COVID-19 and cholera registries to INRB Ebola surveillance and 26-nation GLIDE emergency archives—powering in-browser ARIMA models for early epidemic warning.
Surveillance Coverage
27 Nations
Global Health Ingestion
570K+ Records
Epidemic Vectors
8 Major Pathogens
Forecasting Pipeline
ARIMA Engine
| Data Stream / Source | Dataset Type | Geographic Scope | Reporting Cadence | Observed Metrics | Stream Status |
|---|---|---|---|---|---|
| WHO Global Daily Surveillance | Global Epidemiological Feed | Pan-African & Global | Daily Ingestion | Confirmed Cases, Mortality Rates, Epidemic Waves | Active Stream |
| INRB-UMIE Ebola Consolidated | Sub-National Health Zone Data | Democratic Republic of Congo (COD) | Daily Consolidated Reports | Confirmed Cases, Cumulative Totals, Health Zone Vectors | Critical Surveillance |
| WHO Global Cholera adm0 | National Administrative Surveillance | Multi-Country (COD, ZWE, NGA, ETH, etc.) | Epidemiological Weeks | Case Totals, Death Totals, First/Last Epiweeks | Active Stream |
| GLIDE Multi-Country Event Registry | Disaster & Epidemic Surge Archive | 26 African Nations (CAF, MOZ, SDN, SOM, etc.) | Incident-Triggered | Casualties, Displaced Populations, Outbreak Triggers | Active Archive |
| BVD Mobility & Cohort Surveillance | Population Mobility Indicators | DRC (Ituri & North Kivu Cohorts) | Subscriber-Day Series | Mobility Flow, Cohort Density, Vector Transmission Risk | Specialized Stream |
Standardized `/public/datasets/{ISO3}/{source}.csv` architecture ready for plug-and-play expansion.
Engineered to transform complex raw public health records into actionable predictive insights.
Transforms heterogeneous multi-country CSV datasets (wide WHO tables, location-level health zone reports, GLIDE registries) into uniform { date, value }[] time series.
ISO3-indexed dataset hierarchy supporting 27 African nations, WHO global epidemiological repositories, and localized ministry surveillance feeds.
Pure client-side time-series modeling engine executing outbreak surge projections, trajectory curves, and confidence intervals without remote inference dependencies.
High-resolution geospatial risk assessment mapping contagion clusters across provinces, districts, and border crossing zones.
Automated alert dispatches triggered when transmission velocities or case surge thresholds exceed historical variance boundaries.
Segregated operational workspaces for health district data contributors, regional auditors, and super-administrators.