Leaving no one behind: Interventions and outcomes of the COVID-19 vaccine maximising uptake programme

Berrou, Ilhem; Hamilton, Kathryn; Cook, Clare; Armour, Clare; Hughes, Sian; Hancock, Jude; Quigg, Sally; Hajinur, Huda; Srivastava, Seema; Kenward, Charlie; Ali, Amjid; Hobbs, Laura; Milani, Elena; Walsh, Nicola

doi:10.3390/vaccines10060840

All Outputs (2)

SegCrop: Segmentation-based dynamic cropping of endoscopic videos to address label leakage in surgical tool detection (2023)
Presentation / Conference Contribution

In recent times, surgical data science has emerged as an important research discipline in interventional healthcare. There are many potential applications for analysing endoscopic surgical videos using machine learning (ML) techniques such as surgica... Read More about SegCrop: Segmentation-based dynamic cropping of endoscopic videos to address label leakage in surgical tool detection.

Leaving no one behind: Interventions and outcomes of the COVID-19 vaccine maximising uptake programme (2022)
Journal Article

The devastating impact of COVID-19 on individuals and communities has accelerated the development of vaccines and the deployment of ambitious vaccination programmes to reduce the risks of infection, infection transmission and symptom severity. Howeve... Read More about Leaving no one behind: Interventions and outcomes of the COVID-19 vaccine maximising uptake programme.