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.

Maharashtra, India - Initial programme focus - pilot in development

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.

0306080110Forecast →W1W7W13W19W25W31Epidemiological week (simulated)

+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

Cedar 77Harbor 68Amber 64North 64Basalt 59Dune 58Lantern 58Elm 55Fern 53Juniper 53Granite 51Moss 44Iris 38Kestrel 32
Cedar Ford: priority score 77, very high.Harbor Point: priority score 68, high.Amber Ridge: priority score 64, high.North Weir: priority score 64, high.Basalt Creek: priority score 59, high.Dune Hollow: priority score 58, high.Lantern Cove: priority score 58, high.Elm Crossing: priority score 55, high.Fern Valley: priority score 53, moderate.Juniper Hill: priority score 53, moderate.Granite Bay: priority score 51, moderate.Moss Hollow: priority score 44, moderate.Iris Plains: priority score 38, moderate.Kestrel Marsh: priority score 32, low.
  • <35
  • 35–54
  • 55–74
  • 75+

Rank #3 of 14

Amber Ridge

High risk
Forecast risk72
Priority score64
Trend (10 wk)
  • 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
Prioritization weights (transparent and adjustable)

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

Epinova SignalGlobal surveillance and emerging disease intelligence.
Epinova PredictAI-powered epidemiological forecasting and geographic risk assessment.
Epinova PrioritizePopulation vulnerability, hotspot ranking and intervention targeting.
Epinova ActionField microplanning, resource optimization and operational coordination.

Sources

References

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.