Initial disease focus
Dengue preparedness, informed by climate and cities.
Dengue has expanded rapidly in recent decades, driven by urbanization, travel and a changing climate. Epinova’s initial dengue work focuses on Maharashtra, India - a large, diverse state where urban density and monsoon seasonality shape transmission.
Disease burden context
The World Health Organization reports that the global incidence of dengue has grown dramatically in recent decades, with about half of the world’s population now at risk. India is among the countries reporting substantial dengue activity. Reported cases are known to undercount true infections, because many are mild or unreported.
Environmental and geographic risk
Aedes mosquitoes breed in small containers of water in and around homes, construction sites and urban infrastructure. Monsoon rainfall, temperature and water storage practices strongly influence the timing and intensity of transmission.
- Monsoon onset and post-monsoon peaks
- Urban density and construction activity
- Water storage and drainage patterns
Predictive intelligence
Epinova is developing short-term dengue forecasts that combine surveillance data with climate signals, aiming to give municipal and state teams additional lead time before seasonal peaks.
Population vulnerability
Dense informal settlements, limited water and sanitation infrastructure, and constrained access to care can increase both exposure and the consequences of severe dengue.
Intervention planning
Source reduction, larviciding, fogging, community engagement and hospital preparedness are most effective when concentrated in the right wards ahead of a surge. Epinova aims to link forecasts to these ward-level plans.
Predictive intelligence
How a forecast could look
Illustrative only - fictional areas and simulated values.
+11%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
- Monsoon rainfall (lagged)31%
- Recent case trend29%
- Urban density17%
- Humidity14%
- Other factors9%
Illustrative forecast - simulated values, fictional areas. Not a real prediction.
Community risk explorer
From risk to prioritized communities
- <35
- 35–54
- 55–74
- 75+
Rank #3 of 14
Amber Ridge
- Children under 514.2%
- Travel time to facility97 min
- Net coverage65%
- Test positivity40.9%
Suggested public health investigation
Assess outreach options for remote settlements; consider community case management.
Field planning preview
- Population
- 260,583
- Field teams
- 6
- Nets to close gap
- 50,700
Community priority ranking
Illustrative explorer - fictional areas, simulated indicators and illustrative weighting.
Public health applications
Where intelligence meets action
Ward-level vector control
Prioritize source reduction and larviciding.
Hospital surge readiness
Anticipate demand for beds, testing and platelets.
Community engagement
Target awareness campaigns before peaks.
Municipal coordination
Align health, sanitation and urban services.
Related platform modules
The modules involved
Sources
References
- Dengue and severe dengue fact sheet World Health Organization · accessed 2026-10
- National Center for Vector Borne Diseases Control Government of India · accessed 2026-10
We avoid quoting point statistics that quickly become outdated. Please consult the latest edition of each source for current figures.
Bring dengue intelligence into your planning.
Talk to us about data, geographies and the decisions you need to support.


