TY - BOOK
T1 - Implications of selection bias for the COVID Symptom Tracker Study
AU - Davies, Neil
AU - Mancano, Giulia
AU - Herbert, Annie
AU - Tudball, Matt J
AU - Morris, Tim
AU - Griffith, Gareth
AU - Tilling, Kate
AU - Smith, George Davey
AU - Munafo, Marcus
AU - Walker, Josephine
AU - Hemani, Gibran
AU - Zuccolo, Luisa
AU - Sterne, Jonathan
PY - 2020/6/19
Y1 - 2020/6/19
N2 - The rapid pace of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents challenges to the robust collection of population-scale data to address this global health crisis. We established the COronavirus Pandemic Epidemiology (COPE) Consortium to unite scientists with expertise in big data research and epidemiology to develop the COVID Symptom Study, previously known as the COVID Symptom Tracker, mobile application. This application—which offers data on risk factors, predictive symptoms, clinical outcomes, and geographical hotspots—was launched in the United Kingdom on 24 March 2020 and the United States on 29 March 2020 and has garnered more than 2.8 million users as of 2 May 2020. Our initiative offers a proof of concept for the repurposing of existing approaches to enable rapidly scalable epidemiologic data collection and analysis, which is critical for a data-driven response to this public health challenge.
AB - The rapid pace of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents challenges to the robust collection of population-scale data to address this global health crisis. We established the COronavirus Pandemic Epidemiology (COPE) Consortium to unite scientists with expertise in big data research and epidemiology to develop the COVID Symptom Study, previously known as the COVID Symptom Tracker, mobile application. This application—which offers data on risk factors, predictive symptoms, clinical outcomes, and geographical hotspots—was launched in the United Kingdom on 24 March 2020 and the United States on 29 March 2020 and has garnered more than 2.8 million users as of 2 May 2020. Our initiative offers a proof of concept for the repurposing of existing approaches to enable rapidly scalable epidemiologic data collection and analysis, which is critical for a data-driven response to this public health challenge.
UR - https://research-information.bris.ac.uk/en/publications/6e9e9b4e-5f32-4831-bcfd-9024c2a1820d
U2 - 10.1126/science.abc0473
DO - 10.1126/science.abc0473
M3 - Commissioned report
VL - 368
BT - Implications of selection bias for the COVID Symptom Tracker Study
ER -
