Active Public Health & Healthcare Food & Agriculture

EPSRC Digital Health Hub for Antimicrobial Resistance

In plain English

AI plain-English summary

A digital health hub is building a unified surveillance system to track antibiotic-resistant infections across humans, animals, and the environment. Antimicrobial resistance (AMR) is a top-10 global health threat, yet funding and attention remain low. Current surveillance is fragmented: data on antibiotic use and resistant pathogens sits in separate silos for people, livestock, and waterways, making it impossible to see how resistance spreads between them. The hub aims to link these datasets using digital tools, including decision-support algorithms, wearable sensors, and rapid diagnostics. If successful, the hub could transform how the UK monitors and responds to AMR. Instead of reacting to outbreaks in isolation, health authorities, vets, and environmental agencies would share real-time data to spot emerging resistance patterns early. Clinicians could receive algorithm-guided prescribing advice at the point of care, reducing unnecessary antibiotic use. The project also addresses the digital divide, ensuring tools work for underserved communities. While the hub is applied rather than fundamental science, its five-year programme includes a partnership fund to seed pilot studies, meaning practical tools could reach clinics and farms within the grant period.

View original technical description
The Digital Health Hub for Antimicrobial Resistance (AMR) aims to harness innovative digital technologies to ultimately transform antimicrobial one-health surveillance and antimicrobial stewardship, recognising the interconnectedness of AMR between humans, animals and the environment. The World Health Organization declared AMR - also known as the 'silent pandemic' - a top 10 global public health threat facing humanity. AMR also ranks on the UK Cabinet Office Risk Register and yet despite this recognition, there remains alarmingly low levels of attention and funding for AMR prevention. The 2016 O'Neill Review on Antimicrobial Resistance highlights that by 2050, 10 million lives a year and a cumulative US$100 trillion of economic output are at risk unless action is taken to reduce AMR. Resistant pathogens from animals, humans and food can be cross-transmitted and environmental reservoirs are a potentially important domain in which the mobilisation and transfer of resistant genes occur. Thus, an integrated One Health approach to AMR surveillance and public health action is needed. Moreover, there is growing concern that climate change could increase the risk of emerging and re-emerging infectious diseases. There is growing recognition of the importance of data science and digital health technologies in the fight against AMR, though the field remains in its infancy. The COVID-19 pandemic has dramatically accelerated advances in digital health technologies, driven by unprecedented need, and there is a huge opportunity to leverage these advances for AMR. However, there remain many challenges: poor understanding of one-health needs; data linkage, silos and gaps hinder surveillance; the lack of rapid tests, the lack of public awareness of AMR; digital interventions often do not prioritise user-led design and are not grounded in behaviour change; data privacy, security and ethical issues of bringing together large datasets; health inequalities and the digital divide; the disconnect between early stage research and AMR needs, and lack of understanding of how digital technologies can be commercialised, regulated and integrated into health systems and patient pathways. The Digital Health Hub for AMR brings together a critical mass of Co-Is working across traditional disciplines for AMR, including computer science, biomedical engineering, behavioural social science, environmental science, data visualisation, and clinical and public health research, from five universities, NHS, UK Health Security Agency, Centre for Ecology and Hydrology, charities and industry partners. Our hub vision will be achieved through five objectives: 1. Systems-level needs: To nurture a new culture of cross-sector engagement to accelerate the creation and adoption of digital health innovations for AMR one-health surveillance and antimicrobial stewardship. 2. Skills and Capacity: To grow interdisciplinary skills, capacity, knowledge sharing and leadership needed to deliver a world-leading digital health strategy for combatting AMR. 3. Grand Challenges: To co-create digital health solutions for two AMR grand challenges: i) Digital one-health surveillance of antibiotic use and AMR, linking human, animal and environmental data ii) Digital antimicrobial stewardship via decision support algorithms, digital diagnostics wearables and sensors 4. Partnership Fund: To grow critical mass and a hub of innovation by seeding interdisciplinary pilot studies between industry, academia, health and social care. 5. Impact and Engagement: To maximise hub impact and EPSRC's investment through our communications strategy, patient and public engagement, biannual conferences and events.

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Researchers

Colin Brown (Co-Investigator)Davey Jones (Co-Investigator)Ed Manley (Co-Investigator)Eleni Nastouli (Co-Investigator)Fabiana Lorencatto (Co-Investigator)Gabriele Pollara (Co-Investigator)Ingemar Cox (Principal Investigator)James Hetherington (Co-Investigator)Laura Shallcross (Co-Investigator)Mengdie Zhuang (Co-Investigator)Molly Stevens (Co-Investigator)Nicola Elviss (Co-Investigator)Rachel McKendry (Principal Investigator)Russell Hope (Co-Investigator)Steven Gray (Co-Investigator)Vasileios Lampos (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Accurate, Rapid, Robust and Economical One Health DiagnoSTics for Antimicrobial Resistance
Novel Strategies to Detect and Mitigate the Emergence of AMR in Zoonotic Pathogens
IMPACT AMR: a Transdisciplinary Network
TARGeTED: Tackling Antimicrobial Resistance through Goal-orientated Thinking in the EPS Disciplines
BristolBridge: Bridging the Gaps between the Engineering and Physical Sciences and Antimicrobial Resistance

Original classification

Research Grant

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