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The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action.
Chan, Andrew T; Drew, David A; Nguyen, Long H; Joshi, Amit D; Ma, Wenjie; Guo, Chuan-Guo; Lo, Chun-Han; Mehta, Raaj S; Kwon, Sohee; Sikavi, Daniel R; Magicheva-Gupta, Marina V; Fatehi, Zahra S; Flynn, Jacqueline J; Leonardo, Brianna M; Albert, Christine M; Andreotti, Gabriella; Beane-Freeman, Laura E; Balasubramanian, Bijal A; Brownstein, John S; Bruinsma, Fiona; Cowan, Annie N; Deka, Anusila; Ernst, Michael E; Figueiredo, Jane C; Franks, Paul W; Gardner, Christopher D; Ghobrial, Irene M; Haiman, Christopher A; Hall, Janet E; Deming-Halverson, Sandra L; Kirpach, Brenda; Lacey, James V; Marchand, Loïc Le; Marinac, Catherine R; Martinez, Maria Elena; Milne, Roger L; Murray, Anne M; Nash, Denis; Palmer, Julie R; Patel, Alpa V; Rosenberg, Lynn; Sandler, Dale P; Sharma, Shreela V; Schurman, Shepherd H; Wilkens, Lynne R; Chavarro, Jorge E; Eliassen, A Heather; Hart, Jaime E; Kang, Jae Hee; Koenen, Karestan C.
  • Chan AT; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts. achan@mgh.harvard.edu.
  • Drew DA; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Nguyen LH; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Joshi AD; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Ma W; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Guo CG; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Lo CH; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Mehta RS; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Kwon S; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Sikavi DR; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Magicheva-Gupta MV; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Fatehi ZS; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Flynn JJ; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Leonardo BM; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Albert CM; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Andreotti G; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Beane-Freeman LE; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Balasubramanian BA; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Brownstein JS; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Bruinsma F; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Cowan AN; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Deka A; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Ernst ME; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Figueiredo JC; Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Franks PW; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Gardner CD; Department of Cardiology, Cedars-Sinai Hospital, Los Angeles, California.
  • Ghobrial IM; Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, National Institutes of Health, National Cancer Institute, Bethesda, Maryland.
  • Haiman CA; Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, National Institutes of Health, National Cancer Institute, Bethesda, Maryland.
  • Hall JE; Department of Epidemiology, Human Genetics, and Environmental Science, UTHealth School of Public Health, Houston, Texas.
  • Deming-Halverson SL; Computational Epidemiology Group, Boston Children's Hospital, Boston, Massachusetts.
  • Kirpach B; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Lacey JV; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Marchand LL; American Cancer Society, Atlanta, Georgia.
  • Marinac CR; College of Pharmacy, University of Iowa, Iowa City, Iowa.
  • Martinez ME; Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Hospital, Los Angeles, California.
  • Milne RL; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Murray AM; Department of Genetic and Molecular Epidemiology, Lund University, Malmo, Sweden.
  • Nash D; Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.
  • Palmer JR; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Patel AV; Harvard Medical School, Boston, Massachusetts.
  • Rosenberg L; Department of Preventive Medicine, Keck School of Medicine, Norris Comprehensive Cancer Center and the Epidemiology and Genetics Division, Department of Preventive Medicine, University of Southern California, Los Angeles, California.
  • Sandler DP; National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina.
  • Sharma SV; Social & Scientific Systems, Durham, North Carolina.
  • Schurman SH; Hennepin Health Care Research Institute, Berman Center for Outcomes and Clinical Research, Minneapolis, Minnesota.
  • Wilkens LR; Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope, Duarte, California.
  • Chavarro JE; Cancer Center, University of Hawai'i, Honolulu, Hawaii.
  • Eliassen AH; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Hart JE; Harvard Medical School, Boston, Massachusetts.
  • Kang JH; Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California.
  • Koenen KC; Moores Cancer Center, University of California, San Diego, La Jolla California.
Cancer Epidemiol Biomarkers Prev ; 29(7): 1283-1289, 2020 07.
Article in English | MEDLINE | ID: covidwho-219604
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Software / Data Collection / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Humans Country/Region as subject: North America / Europa Language: English Journal: Cancer Epidemiol Biomarkers Prev Journal subject: Biochemistry / Epidemiology / Neoplasms Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Software / Data Collection / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Humans Country/Region as subject: North America / Europa Language: English Journal: Cancer Epidemiol Biomarkers Prev Journal subject: Biochemistry / Epidemiology / Neoplasms Year: 2020 Document Type: Article