About: The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action
Creator	Brownstein, John Franks, Paul Koenen, Karestan Nguyen, Long Wolf, Jonathan Chan, Andrew Drew, David Joshi, Amit Spector, Tim Steves, Claire Albert, Christine Andreotti, Gabriella Balasubramanian, Bijal Beane-Freeman, Laura Bruinsma, Fiona Chavarro, Jorge Cowan, Annie Deka, Anusila Deming-Halverson, Sandra Eliassen, A Ernst, Michael Fatehi, Zahra Figueiredo, Jane Flynn, Jacqueline Gardner, Christopher Ghobrial, Irene Guo, Chuan-Guo Haiman, Christopher Hall, Janet Hart, Jaime Kang, Jae Kirpach, Brenda Kubzansky, Laura Kwon, Sohee Lacey, James Leonardo, Brianna Lo, Chun-Han Ma, Wenjie Magicheva-Gupta, Marina Marinac, Catherine Martinez, Maria Mehta, Raaj Milne, Roger Mucci, Lorelei Murray, Anne Nash, Denis Ourselin, Sebastien Palmer, Julie Patel, Alpa Rich-Edwards, Janet Rosenberg, Lynn Sandler, Dale Schurman, Shepherd Sharma, Shreela Sikavi, Daniel Song, Mingyang Stampfer, Meir Wilkens, Lynne Willett, Walter Lo€, Marchand, Le
Source	Medline; PMC; WHO
abstract	The rapid pace of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) pandemic presents challenges to the real-time collection of population-scale data to inform near-term public health needs as well as future investigations. We established the COronavirus Pandemic Epidemiology (COPE) consortium to address this unprecedented crisis on behalf of the epidemiology research community. As a central component of this initiative, we have developed a COVID Symptom Study (previously known as the COVID Symptom Tracker) mobile application as a common data collection tool for epidemiologic cohort studies with active study participants. This mobile application collects information on risk factors, daily symptoms, and outcomes through a user-friendly interface that minimizes participant burden. Combined with our efforts within the general population, data collected from nearly 3 million participants in the United States and United Kingdom are being used to address critical needs in the emergency response, including identifying potential hot spots of disease and clinically actionable risk factors. The linkage of symptom data collected in the app with information and biospecimens already collected in epidemiology cohorts will position us to address key questions related to diet, lifestyle, environmental, and socioeconomic factors on susceptibility to COVID-19, clinical outcomes related to infection, and long-term physical, mental health, and financial sequalae. We call upon additional epidemiology cohorts to join this collective effort to strengthen our impact on the current health crisis and generate a new model for a collaborative and nimble research infrastructure that will lead to more rapid translation of our work for the betterment of public health.
has issue date	2020-05-05(xsd:dateTime)
bibo:doi	10.1158/1055-9965.epi-20-0606
bibo:pmid	32371551
has license	no-cc
sha1sum (hex)	4f04bc5c993625374fe077f6a7495395f48b2360
schema:url	https://doi.org/10.1158/1055-9965.epi-20-0606
resource representing a document's title	The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action
has PubMed Central identifier	PMC7357669
has PubMed identifier	32371551
schema:publication	Cancer Epidemiol Biomarkers Prev
resource representing a document's body	covid:4f04bc5c993625374fe077f6a7495395f48b2360#body_text
is schema:about of	named entity 'COPE' named entity 'population' named entity 'COPE' named entity 'TIME COLLECTION' named entity 'SYMPTOM' named entity 'Epidemiology' named entity 'mobile application' named entity 'Combined' named entity 'data' named entity 'pace' named entity 'burden' named entity 'digital contact tracing' named entity 'COVID' named entity 'anosmia' named entity 'COVID' named entity 'germline' named entity 'epidemiologists' named entity 'cancer epidemiology' named entity 'long-term' named entity 'COVID' named entity 'health crisis'

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