Completed Public Health & Healthcare Food & Agriculture

Fully integrated, real-time detection, diagnosis and control of community diarrhoeal disease clusters and outbreaks

In plain English

AI plain-English summary

Seventeen 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.

View original technical description
Seventeen million people suffer a diarrhoeal disease every year. These diseases often lead to outbreaks of infections, like norovirus - now among the costliest infectious burdens on the NHS. The sooner diseases are detected, the sooner they can be brought under control - limiting their health and financial impact. It is known from outbreaks of Escherichia coli O104 in Germany and O157 at Godstone Farm in Surrey that surveillance is key to detection; but with fewer people now consulting their GP over diarrhoea, outbreaks are increasingly difficult to detect using traditional methods. This hides the true burden of disease. Professor Sarah O’Brien and her collaborators will use data from multiple sources to scout for infection in the community, take samples and analyse them, using modern technology to detect organisms. The researchers will analyse the DNA of microbes to discover which family of organisms they belong to and how they are evolving. Since many diarrhoeal diseases can pass between humans and animals the project team will develop and integrate veterinary and medical surveillance. The ultimate goal is an integrated real-time, surveillance/diagnosis/investigation system - centred on the patient - that detects community outbreaks sooner, enables Health Protection professionals and Environmental Health Officers to intervene quickly and thus lessen short- and long-term harm

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

Fully integrated, real-time detection, diagnosis and control of community diarrhoeal disease clusters and outbreaks.
EPSRC IRC in Early-Warning Sensing Systems for Infectious Diseases
Incorporating wastewater-based epidemiology into a real-time, multiplex public health surveillance system
Modernising medical microbiology: Establishing how new technologies can be optimally integrated into microbiology
Integrated Surveillance Suite for Targeting Interventions to Cholera Outbreaks

Original classification

Research

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.