Professor Christophe Fraser, scientific advisor to the NHSx and Department of Health & Social Care from Oxford University's Nuffield Department of Medicine explains, "Fast and widespread contact tracing is a vital tool to help retain control of the COVID-19 epidemic, and to avoid repeated lockdowns. Tracing needs to find contacts quickly because coronavirus spreads before symptoms occur. The more communities download the app when it rolls out nationally*, the more loved ones, colleagues and people we don't know or remember we've been close to can be rapidly notified of a high-risk encounter. The app will enable us to return to more active daily lives with the reassurance that we can anonymously alert our network if we become infected and help avoid a second wave."
This latest version continues to use Bluetooth technology and records proximity contacts closer than 2 metres and lasting longer than 15 mins. It also includes a feature to pause the app, if you plan to be away from your mobile phone, or work in an environment, such as a hospital, where personal protective equipment (PPE) is worn. The app provides guidance on self-isolation and updates you on COVID-19 risk in your local area. Using QR code scanning, the app simplifies the process of checking-in to businesses, including pubs and restaurants, in order to assist local public health authorities with outbreak investigations. Contact data will be stored on your phone for 14 days, and QR code data for 21 days. The data can be deleted at any time by the user.
Oxford’s team of epidemiologists and mathematical modellers expect the app to help control the epidemic, reducing the number of COVID-19 cases, hospitalisations and deaths at relatively low levels of user uptake.
Dr Lucie Abeler-Dorner, senior programme manager at Oxford University’s Nuffield Department of Medicine and scientific advisor to the NHSx and the Department of Health and Social Care advisor explains, “Our recent studies estimate that the app will start to reduce the number of infections and hospitalisations from just 15-20% of the population downloading and following the advice. If people trust in the app’s purpose to stop transmission, the more people who chose to download it, the more lives can be saved.”
The full article is available on the Big Data Institute website
The story is also featured on the University of Oxford website