Bookmarks
COVID-19 Symptom Tracker - Frimley Health Foundation Trust
Safe People
Frimley Health NHS Foundation Trust
CQC Registered Health or/and Social Care provider
Safe Projects
1138
i-sense EPSRC IRC aims to build a new generation of digital sensing systems to identify and prevent outbreaks of infectious disease, harnessing data science, nanotechnology and engineering (www.i-sense.org.uk). There is an urgent need to map the spread and impact of COVID-19 across the UK. Early detection of local outbreaks is key to protecting populations from disease. i-sense researchers will analyse data from the COVID-19 Symptom Tracker app, which is now used by close on 2m people, in combination with our existing data sets (including search queries and mobility data) to understand the spread of the disease and present these data to key decision makers and public health officials to help them identify areas that need focused attention through, for example, more targeted social distancing campaigns or diagnostic testing. The work builds on our recent breakthroughs in analysis of Google search queries (adopted by PHE for national influenza and COVID-19 surveillance, Lampos et al. arXiv 2020), mobility data (Bennett et al. arXiv 2020) and our recent review of digital technologies in the public health response to the pandemic (Budd et al. Nature Medicine 2020). In support of this national response, this project is undertaking the following areas of work: i) Monitor the effectiveness of nonpharmaceutical interventions on reported symptoms in the UK; ii) Use reported symptoms as part of early warning systems for COVID-19 prevalence in the UK; iii) Compare app-reported symptoms with other sources such as online search, and evaluate the representativeness of voluntary symptom reporting apps. iv) Monitor preventative behaviours including analgesics use should data exist.
To map COVID-19 across the UK and its 4 nations to inform UK, national and local decision making, with direction and priorities provided by government and those responsible for evaluating and dealing with the UK COVID-19 responses and planning. Specifically, this project aims to i) Monitor the effectiveness of non-pharmaceutical interventions on reported symptoms in the UK, including the government’s test, trace, isolate system; ii) Use reported symptoms as part of early warning systems for COVID-19 prevalence in the UK; iii) Compare app-reported symptoms with other sources such as online search, and evaluate the representativeness of voluntary symptom reporting apps. iv) Monitor preventative behaviours including analgesics use should data exist. Anticipated outcomes of the project are i) A data dashboard visualising reported symptoms reported on an aggregate level in UK local authorities, and compared to other sources such as NHS 111 and search queries; ii) predictive models for COVID-19 prevalence in the UK; iii) Assess the representativeness of voluntary symptom reporting apps. iv) Policy recommendations on analgesics use, should the relevant data exist.
30/06/2020
Safe Data
Anonymous
(e) processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.
Not applicable
Not applicable
Safe Setting
TRE