Case Studies

Evidence, when we have it.

Epinova’s pilots are in development. We will publish case studies only once pilots have produced results that our partners have reviewed and agreed to share. In the meantime, the scenarios below illustrate how the platform is designed to work.

Illustrative scenarios

How Epinova is designed to be used

Hypothetical scenarios with fictional places. They do not describe real deployments or results.

Scenario: timing a seasonal malaria campaign

A fictional state programme preparing for the rainy season.

Predict flags earlier-than-usual rainfall and a rising forecast in three fictional districts.
Prioritize ranks wards by forecast risk, under-five population and net coverage.
Action drafts a microplan for chemoprevention rounds, matched to available teams.
Impact tracks round completion and compares positivity trends with comparison wards.

Scenario: preparing a city for a dengue season

A fictional municipal corporation ahead of the post-monsoon period.

Signal surfaces local reports of increasing fever cases, corroborated across sources.
Predict indicates elevated short-term risk in dense central wards.
Connect aligns sanitation, health and hospital teams on a shared ward priority list.
Hospitals use the outlook to plan bed and testing capacity.

Our standard

What an Epinova case study will include

Partner approval for publication
Clear description of setting, data and methods
Pre-agreed indicators and comparison approach
Limitations and what did not work
Independent review where possible

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