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