Intelligence domain
A foundation for intelligence across infectious diseases.
Malaria and dengue are where Epinova starts. The underlying approach - verified signals, transparent forecasts, prioritization and measured action - is designed to extend to other infectious diseases as data, partners and validation allow.
Event-based surveillance
Detecting unusual events from diverse sources complements indicator-based surveillance and can shorten time to recognition.
Shared methods
Data harmonization, uncertainty-aware forecasting and prioritization frameworks are designed to be reusable across diseases.
Disease-specific validation
Each new disease requires its own data assessment, model validation and expert review before operational use.
Global intelligence map
Situational awareness, illustrated
Illustrative surveillance map. Markers do not represent real events or locations of outbreaks.
Public health applications
Where intelligence meets action
Candidate future areas
Other vector-borne diseases (e.g. chikungunya, Zika), cholera and seasonal respiratory infections are being considered for future research - not current capabilities.
Cross-border awareness
Monitoring signals that may affect neighbouring regions.
Related platform modules
The modules involved
Sources
References
- Integrated Disease Surveillance and Response WHO Regional Office for Africa · accessed 2026-10
We avoid quoting point statistics that quickly become outdated. Please consult the latest edition of each source for current figures.
Bring infectious disease intelligence into your planning.
Talk to us about data, geographies and the decisions you need to support.