Sub-Saharan Africa (SSA) remains the most populous region affected by malaria, despite being curable and intense attempts from the World Health Organization (WHO) in collaboration with endemics countries to combat it. While the relationships between climate, climate change and malaria are addressed already for a longer time, this project focuses on possibilities and limitations to predict malaria transmission weeks and months ahead.

This study aims to contribute to malaria early warming initiatives in SSA by developing a weather-based malaria predictions using regionalized S2S forecasts and the grid cell distributed VECTRI dynamical malaria transmission model to target interventions against disease outbreaks.