Biosurveillance tools and approaches

Biosurveillance is becoming increasingly important to support food safety, public health, animal and plant health. As the volume, complexity and variety of surveillance data continue to increase, government organisations are exploring new tools, technologies and approaches to improve the collection, analysis, interpretation and sharing of information. These developments include the use of Artificial Intelligence (AI), horizon-scanning tools, data integration platforms, analytical workflows, collaboration technologies and other digital approaches that can enhance the speed and effectiveness of surveillance activities. This project will examine how government and related organisations are using tools, technologies and approaches, including AI, to support biosurveillance activities, with a particular focus on generating insight and intelligence from surveillance data to support food safety. The project will identify successful implementations, common challenges and opportunities for collaboration, while establishing a cross-government working group to support knowledge exchange and community building. The project should adopt a One Health perspective, recognising the links between food safety, human health, animal health, plant health and environmental surveillance. The outputs will provide an evidence base to support future decision-making, reduce duplication of effort, strengthen cross-government networks and help maximise the value of existing and future investments in biosurveillance capabilities