How it works

From a changing climate to an earlier local response.

MalaAlert is being designed to connect climate intelligence with community knowledge, frontline health systems and practical malaria prevention.

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.

01

Climate and weather

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

02

Community health signals

Locally reported malaria trends and observations from frontline health workers.

03

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.
Illustrative image · Environmental field observation
ObserveGather signals

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

EstimateGenerate a localized outlook

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

ValidateCheck against local reality

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

CommunicateSend a clear warning

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

RespondCoordinate prevention

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

LearnImprove 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 radio operator prepares a public health message beside a microphone, mixing desk and basic handset.
Illustrative image · Accessible community communication

SMS

Short, practical messages that work on basic mobile phones.

WhatsApp

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.

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.

Explore a partnership