AWeCCA's AI disease prediction model has been deployed across 12 districts in Kenya and Uganda, protecting over 3,000 farming families from catastrophic livestock losses and revolutionizing how rural communities respond to disease threats.
The machine learning system analyzes weather patterns, historical outbreak data, livestock movement, and environmental factors to forecast disease outbreaks up to three weeks in advance. In 2025 alone, the system issued 18 early warnings, enabling farmers to vaccinate, relocate animals, or implement biosecurity measures before outbreaks occurred.
— Peter, Pastoralist, Turkana County, Kenya
Communities using the AI tool saw a 40% reduction in disease-related livestock deaths compared to previous years. The economic impact has been substantial—families report saving an average of $500 annually in prevented livestock losses, a significant sum in pastoralist communities.
AWeCCA has partnered with local mobile network operators to deliver alerts via SMS and voice messages, ensuring even farmers without smartphones receive critical warnings. The AI model is now being integrated into an offline-capable mobile app that works in remote areas with limited connectivity.
The technology is open-source and continuously improving. AWeCCA researchers are adding new data streams including satellite imagery and community-reported symptoms to further enhance accuracy. By 2027, we aim to protect over 1 million livestock animals across East Africa through this early warning system.
This research has been peer-reviewed and published in the African Journal of Animal Health, with plans to expand to additional countries including Tanzania, Rwanda, and Ethiopia.