A new model has been created that uses seasonal weather data from satellite images to accurately predict outbreak of malaria with a one-month lead time. With a so-called GAMBOOST model, a host of weather information gathered from satellite images can be used as a cost-effective disease forecasting model, allowing health officials to get ahead of the malaria infection curve by allocating resources and mobilizing public health responses.