Work Package 2: Early Warning System Development

Description: Low-cost sensors will be deployed in 4 selected communities to measure climate indicators and input into the EWS. AI predictive algorithms will combine real-time data from weather stations with historical data for extreme weather predictions; and combine historical disease data (identified in WP1) and current Department of Health data for disease outbreak prediction. A mobile phone app will be developed to deliver alerts A dashboard will be deployed within healthcare and disaster management departments to support decision making and planning resources.
Lead Researchers: Professor Muhammad Zeeshan Shakir, Professor David Ndzi, Professor Serestina Viriri and Professor Michael Gebreslasie
Key Features:
- Low-cost sensor deployment.AI models for climate predictions and disease outbreaks.
- Real-time alerts
Deliverables:
- AI-based weather and disease outbreak prediction models.
- Development of an interactive dashboard.

Weather