Improving pandemic control with remote monitoring

We want to remotely monitor the population with COVID-19 symptoms by means of a low-cost wearable device that captures and analyses physiological data. This analysis and visualisation (Data Analytics) and the use of artificial intelligence to calculate and forecast the behaviour, will provide us with information on the expansion and progression of the disease. We want to know the status of COVID-19 sufferers in both real time and telematically. This collection and processing of georeferenced data will provide the healthcare and civil authorities with a tool for monitoring the status of the current pandemic, forecasting its future spread.

Principal investigator: Dr. Maria Grau. Researcher in the Epidemiology and Public Health Programme (IMIM)
Funding: Pending
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