Disease Intelligence
Starting where the burden is greatest and the data can drive action.
Epinova begins with malaria and dengue - two climate-sensitive, vector-borne diseases where earlier warning and sharper targeting can protect large numbers of people.
Initial programme focus
Two geographies, two diseases, one approach.
NigeriaMalariaInitial focus · pilot in developmentMaharashtra, IndiaDengueInitial focus · pilot in development
Future expansion (roadmap)Other African countries · GCC · South Asia · Southeast Asia · Europe · North America
Predictive disease forecast
Forecasts with honest uncertainty.
An illustrative example of how forecasts, intervals and drivers are presented. All values are simulated.
+1%projected change to peak within 6 weeks (simulated)
Interval widens with horizon: uncertainty grows the further ahead the model looks.
What is driving this forecast
- Rainfall (lagged 4–6 weeks)34%
- Recent case trend27%
- Temperature18%
- Net coverage gap13%
- Other factors8%
Illustrative forecast - simulated values, fictional areas. Not a real prediction.
Explore disease intelligence for your programme.
Discuss the diseases, geographies and decisions that matter to you.