The Optimise Study: Optimising Isolation, Quarantine and Distancing for COVID-19

In this observational study, our primary aim is to utilize the expertise we have developed in OUCRU Vietnam to develop dynamic models that predict disease progression using real-time, longitudinal clinico-physiological data and specific blood biomarkers. Achieving this requires research in early infection and across the disease severity spectrum. In many countries, this is difficult due to high burden of severe cases. In Vietnam, the early identification of SARS-CoV-2 infections is routine due to a highly efficient test, trace and quarantine system. At OUCRU Vietnam, in collaboration with Oxford UK, we are using point-of-care ultrasound and physiological monitoring via simple low-cost wearable devices to develop artificial intelligence (AI) systems to better manage critically ill patients. In this project, we intend to use conventional statistical techniques and AI to develop dynamic predictive models that will enable identification patients at risk of disease progression in COVID-19. We will build on our expertise using data from wearable devices, point-of-care heart and lung ultrasound, and specific blood biomarkers.