Skip to main content
Oxford University Press - PMC COVID-19 Collection logoLink to Oxford University Press - PMC COVID-19 Collection
. 2022 Mar 12:kwac032. doi: 10.1093/aje/kwac032

Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design

Elizabeth C Oelsner , Akshaya Krishnaswamy, Pallavi P Balte, Norrina Bai 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 Gallo, Jose Gutierrez, Mei Lan K Han, Joel M Henderson, Virginia J Howard, Carmen R Isasi, David R Jacobs Jr, Suzanne E Judd, Debora Kamin Mukaz, Alka M Kanaya, Namratha R Kandula, Robert Kaplan, Gregory L Kinney, Anna Kucharska-Newton, Joyce S Lee, Cora E Lewis, Deborah A Levine, Emily B Levitan, Bruce Levy, Barry Make, Kimberly Malloy, Jennifer J Manly, Carolina Mendoza-Puccini, Katie A Meyer, Yuan-I Min, Matthew Moll, Wendy C Moore, Dave 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 D Hinckley Stukovsky, Gregory A Talavera, Russell P Tracy, Jason G Umans, Ramachandran S Vasan, Karol Watson, Sally E Wenzel, Karen Winters, Prescott G Woodruff, Vanessa Xanthakis, Ying Zhang, Yiyi Zhang, For the C4R Investigators
PMCID: PMC8992336  PMID: 35279711

Abstract

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.

Keywords: cohort study, COVID-19, epidemiology

Supplementary Material

Web_Material_kwac032

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Web_Material_kwac032

Articles from American Journal of Epidemiology are provided here courtesy of Oxford University Press

RESOURCES