How MalaAlert works

Climate signals become local action.

Watch changing weather, community health and ecological cues turn into a validated outlook, clear guidance and earlier prevention without replacing clinical care.

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The inputs

No single signal tells the whole story.

The proposed model combines multiple sources and tests them against observed malaria trends. Indigenous ecological knowledge complements, rather than replaces, climate and public-health evidence.

Climate and weather

Rainfall, temperature, humidity, flooding and short-range forecasts.

Community health signals

Locally reported malaria trends and observations from frontline health workers.

Indigenous ecological knowledge

Seasonal vegetation, insect behaviour and place-based environmental indicators.

The warning cycle

A repeatable path from observation to action.

A field worker records observations beside shallow standing water using a notebook, basic phone and simple rain gauge. — Environmental field observation

Observe

Gather signals

Combine relevant weather, environmental, health-surveillance and community observations.

Estimate

Generate a localized outlook

Model how changing conditions may affect mosquito breeding and malaria risk in a specific area.

Validate

Check against local reality

Compare forecasts with observed trends and feedback from health workers and communities.

Communicate

Send a clear warning

Explain risk level, timing and recommended actions in accessible, culturally relevant language.

Respond

Coordinate prevention

Support sanitation, breeding-site elimination, net use, awareness and timely testing.

Learn

Improve continuously

Use delivery data, user feedback and observed outcomes to refine the model and response protocol.

Delivery

Designed to reach people beyond smartphones and mobile data.

A community health worker in a high-visibility vest performs a finger-prick test for a seated resident during an outdoor outreach session. — Frontline community health outreach

SMS

Short, practical messages that work on basic mobile phones.

Shareable alerts and prevention guidance for connected households.

Community radio

Local-language broadcasts for people beyond mobile data coverage.

Frontline health workers

Trusted, face-to-face guidance and coordinated community action.

From method to product

See how the warning cycle becomes practical technology.

This page explains the warning method. Explore Solutions for the community interfaces, field-coordination tools, decision-intelligence previews and responsible technology foundations designed around it.

Explore MalaAlert solutions

Responsible by design

Prediction requires trust, validation and clear limits.

Human validation

Health and climate partners help assess model outputs and response guidance.

Data minimisation

Only information necessary for the warning system should be collected and accessed.

Transparent uncertainty

Risk outlooks communicate that predictions are estimates, not guarantees.

Clinical boundaries

Alerts support prevention and preparedness; they do not diagnose or replace care.

Help validate a warning system built for local action.

We welcome conversations with community organisations, health institutions, climate experts and responsible technology partners.

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