Fully integrated, real-time detection, diagnosis and control of community diarrhoeal disease clusters and outbreaks
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AI plain-English summarySeventeen million people in the UK suffer a diarrhoeal disease every year, yet fewer are now visiting their GP, making outbreaks harder to spot with traditional surveillance. This matters because outbreaks like norovirus are among the costliest infectious burdens on the NHS. Delayed detection allows infections to spread unchecked, causing greater harm and expense. The problem is compounded by the fact that many diarrhoeal diseases pass between humans and animals, so human-only surveillance misses crucial links. Professor Sarah O’Brien and her team will pull data from multiple sources—including veterinary records—to scout for infections in the community, take samples, and analyse microbial DNA to identify organisms and track their evolution. If successful, the project will produce an integrated, real-time surveillance, diagnosis, and investigation system centred on the patient. Health protection professionals and environmental health officers would then detect community outbreaks sooner and intervene faster, limiting both short-term illness and long-term complications. This is applied research with a clear practical goal: to make the invisible burden of diarrhoeal disease visible and controllable.
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