Malaria outbreak prediction at the sub-district level in Zambia using remote sensing satellite data

This simple, weather-driven forecasting approach accurately predicted malaria outbreaks up to four months ahead in a low-transmission setting. Such predictions could inform targeted stock management and preemptive resource mobilization, thereby reducing the risk of commodity shortages during outbreak periods.