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

Author:

Chan Andrew T.123,Drew David A.12ORCID,Nguyen Long H.12,Joshi Amit D.12,Ma Wenjie12,Guo Chuan-Guo1,Lo Chun-Han1ORCID,Mehta Raaj S.12,Kwon Sohee1ORCID,Sikavi Daniel R.1,Magicheva-Gupta Marina V.12,Fatehi Zahra S.12ORCID,Flynn Jacqueline J.12,Leonardo Brianna M.12,Albert Christine M.4,Andreotti Gabriella5,Beane-Freeman Laura E.5,Balasubramanian Bijal A.6,Brownstein John S.7,Bruinsma Fiona8,Cowan Annie N.9ORCID,Deka Anusila10ORCID,Ernst Michael E.11ORCID,Figueiredo Jane C.12,Franks Paul W.1314,Gardner Christopher D.15ORCID,Ghobrial Irene M.916,Haiman Christopher A.17,Hall Janet E.18,Deming-Halverson Sandra L.19,Kirpach Brenda20,Lacey James V.21,Marchand Loïc Le22,Marinac Catherine R.916ORCID,Martinez Maria Elena2324,Milne Roger L.8ORCID,Murray Anne M.20,Nash Denis2526,Palmer Julie R.27,Patel Alpa V.10,Rosenberg Lynn27,Sandler Dale P.18ORCID,Sharma Shreela V.6,Schurman Shepherd H.18ORCID,Wilkens Lynne R.22,Chavarro Jorge E.31328ORCID,Eliassen A. Heather28,Hart Jaime E.329,Kang Jae Hee3ORCID,Koenen Karestan C.28,Kubzansky Laura D.30ORCID,Mucci Lorelei A.28,Ourselin Sebastien31,Rich-Edwards Janet W.3,Song Mingyang12,Stampfer Meir J.328,Steves Claire J.31,Willett Walter C.1328ORCID,Wolf Jonathan32ORCID,Spector Tim3132

Affiliation:

1. 1Clinical & Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.

2. 2Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.

3. 3Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

4. 4Department of Cardiology, Cedars-Sinai Hospital, Los Angeles, California.

5. 5Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, National Institutes of Health, National Cancer Institute, Bethesda, Maryland.

6. 6Department of Epidemiology, Human Genetics, and Environmental Science, UTHealth School of Public Health, Houston, Texas.

7. 7Computational Epidemiology Group, Boston Children's Hospital, Boston, Massachusetts.

8. 8Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.

9. 9Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.

10. 10American Cancer Society, Atlanta, Georgia.

11. 11College of Pharmacy, University of Iowa, Iowa City, Iowa.

12. 12Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Hospital, Los Angeles, California.

13. 13Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

14. 14Department of Genetic and Molecular Epidemiology, Lund University, Malmo, Sweden.

15. 15Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California.

16. 16Harvard Medical School, Boston, Massachusetts.

17. 17Department 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.

18. 18National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina.

19. 19Social & Scientific Systems, Durham, North Carolina.

20. 20Hennepin Health Care Research Institute, Berman Center for Outcomes and Clinical Research, Minneapolis, Minnesota.

21. 21Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope, Duarte, California.

22. 22Cancer Center, University of Hawai'i, Honolulu, Hawaii.

23. 23Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California.

24. 24Moores Cancer Center, University of California, San Diego, La Jolla California.

25. 25Institute for Implementation Science in Population Health, City University of New York (CUNY), New York, New York.

26. 26Department of Epidemiology and Biostatistics, School of Public Health, City University of New York (CUNY), New York, New York.

27. 27Slone Epidemiology Center, School of Medicine, Boston University, Boston, Massachusetts.

28. 28Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

29. 29Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

30. 30Department of Social and Behavioral Sciences and Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

31. 31Department of Twin Research & Genetic Epidemiology, Kings College, London, United Kingdom.

32. 32Zoe Global Limited, London, United Kingdom.

Abstract

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.

Funder

Wellcome Trust

EPSRC

NIHR GSTT

KCL Biomedical Research Centre

MRC

BHF

NIHR

Alzheimer's Society

Publisher

American Association for Cancer Research (AACR)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.7亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2025 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3