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Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design
Author(s) -
Elizabeth C. Oelsner,
Akshaya Krishnaswamy,
Pallavi Balte,
Norrina B. Allen,
Tauqeer Ali,
Pramod Anugu,
Howard Andrews,
Komal Arora,
Alyssa Asaro,
R. Graham Barr,
Alain G. Bertoni,
Jessica Bon,
Rebekah Boyle,
Arunee A Chang,
Grace Chen,
Sean Coady,
Shelley A. Cole,
Josef Coresh,
Elaine Cornell,
Adolfo Correa,
David Couper,
Mary Cushman,
Ryan T. Demmer,
Mitchell S.V. Elkind,
Aaron R. Folsom,
Amanda M. Fretts,
Kelley Pettee Gabriel,
Linda C. Gallo,
Jose Gutierrez,
Mei Han,
Joel Henderson,
Virginia J. Howard,
Carmen R. Isasi,
David R. Jacobs,
Suzanne E. Judd,
Debora Kamin Mukaz,
Alka M. Kanaya,
Namratha R. Kandula,
Robert C. Kaplan,
Gregory L. Kinney,
Anna KucharskaNewton,
Joyce Lee,
Cora E. Lewis,
Deborah A. Levine,
Emily B. Levitan,
Bruce D. Levy,
Barry J. Make,
Kimberly Malloy,
Jennifer J. Manly,
Carolina MendozaPuccini,
Katie A. Meyer,
Yuan-I Nancy Min,
Matthew Moll,
Wendy C. Moore,
D. Mauger,
Victor E. Ortega,
Priya Palta,
Monica M. Parker,
Wanda Phipatanakul,
Wendy S. Post,
Lisa Postow,
Bruce M. Psaty,
Elizabeth A. Regan,
Kimberly Ring,
Véronique L. Roger,
Jerome I. Rotter,
Tatjana Rundek,
Ralph L. Sacco,
Michael Schembri,
David A. Schwartz,
Sudha Seshadri,
James M. Shikany,
Mario Sims,
Karen Hinckley Stukovsky,
Gregory A. Talavera,
Russell P. Tracy,
Jason G. Umans,
Ramachandran S. Vasan,
Karol E. Watson,
Sally E. Wenzel,
Karen Winters,
Prescott G. Woodruff,
Vanessa Xanthakis,
Ying Zhang,
Yiyi Zhang
Publication year - 2022
Publication title -
american journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/kwac032
Subject(s) - covid-19 , medicine , cohort study , cohort , research design , virology , outbreak , statistics , disease , infectious disease (medical specialty) , mathematics
The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established United States (US) prospective cohort studies. Starting as early as 1971, C4R cohorts have collected data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R links this pre-COVID phenotyping to information on SARS-CoV-2 infection and acute and post-acute COVID-related illness. C4R is largely population-based, has an age range of 18–108 years, and reflects the racial, ethnic, socioeconomic, and geographic diversity of the US. C4R ascertains SARS-CoV-2 infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations, and high-quality events surveillance. Extensive pre-pandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these will be pooled and shared widely to expedite collaboration and scientific findings. This resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including post-acute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term trajectories of health.

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