Climate and weather
Rainfall, temperature, humidity, flooding and short-range forecasts.
How it works
MalaAlert is being designed to connect climate intelligence with community knowledge, frontline health systems and practical malaria prevention.
The inputs
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.
Rainfall, temperature, humidity, flooding and short-range forecasts.
Locally reported malaria trends and observations from frontline health workers.
Seasonal vegetation, insect behaviour and place-based environmental indicators.
The warning cycle

Combine relevant weather, environmental, health-surveillance and community observations.
Model how changing conditions may affect mosquito breeding and malaria risk in a specific area.
Compare forecasts with observed trends and feedback from health workers and communities.
Explain risk level, timing and recommended actions in accessible, culturally relevant language.
Support sanitation, breeding-site elimination, net use, awareness and timely testing.
Use delivery data, user feedback and observed outcomes to refine the model and response protocol.
Delivery

Short, practical messages that work on basic mobile phones.
Shareable alerts and prevention guidance for connected households.
Local-language broadcasts for people beyond mobile data coverage.
Trusted, face-to-face guidance and coordinated community action.
Responsible by design
Health and climate partners help assess model outputs and response guidance.
Only information necessary for the warning system should be collected and accessed.
Risk outlooks communicate that predictions are estimates, not guarantees.
Alerts support prevention and preparedness; they do not diagnose or replace care.
We welcome conversations with community organisations, health institutions, climate experts and responsible technology partners.
Explore a partnership