Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design. Issue 7 (12th March 2022)
- Record Type:
- Journal Article
- Title:
- Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design. Issue 7 (12th March 2022)
- Main Title:
- Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design
- Authors:
- Oelsner, Elizabeth C
Krishnaswamy, Akshaya
Balte, Pallavi P
Allen, Norrina Bai
Ali, Tauqeer
Anugu, Pramod
Andrews, Howard F
Arora, Komal
Asaro, Alyssa
Barr, R Graham
Bertoni, Alain G
Bon, Jessica
Boyle, Rebekah
Chang, Arunee A
Chen, Grace
Coady, Sean
Cole, Shelley A
Coresh, Josef
Cornell, Elaine
Correa, Adolfo
Couper, David
Cushman, Mary
Demmer, Ryan T
Elkind, Mitchell S V
Folsom, Aaron R
Fretts, Amanda M
Gabriel, Kelley P
Gallo, Linda C
Gutierrez, Jose
Han, Mei Lan K
Henderson, Joel M
Howard, Virginia J
Isasi, Carmen R
Jacobs Jr, David R
Judd, Suzanne E
Mukaz, Debora Kamin
Kanaya, Alka M
Kandula, Namratha R
Kaplan, Robert C
Kinney, Gregory L
Kucharska-Newton, Anna
Lee, Joyce S
Lewis, Cora E
Levine, Deborah A
Levitan, Emily B
Levy, Bruce D
Make, Barry J
Malloy, Kimberly
Manly, Jennifer J
Mendoza-Puccini, Carolina
Meyer, Katie A
Min, Yuan-I Nancy
Moll, Matthew R
Moore, Wendy C
Mauger, David
Ortega, Victor E
Palta, Priya
Parker, Monica M
Phipatanakul, Wanda
Post, Wendy S
Postow, Lisa
Psaty, Bruce M
Regan, Elizabeth A
Ring, Kimberly
Roger, Véronique L
Rotter, Jerome I
Rundek, Tatjana
Sacco, Ralph L
Schembri, Michael
Schwartz, David A
Seshadri, Sudha
Shikany, James M
Sims, Mario
Hinckley Stukovsky, Karen D
Talavera, Gregory A
Tracy, Russell P
Umans, Jason G
Vasan, Ramachandran S
Watson, Karol E
Wenzel, Sally E
Winters, Karen
Woodruff, Prescott G
Xanthakis, Vanessa
Zhang, Ying
Zhang, Yiyi
… (more) - Abstract:
- Abstract: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established US prospective cohort studies. Starting as early as 1971, investigators in the C4R cohort studies 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–coronavirus disease 2019 (COVID-19) phenotyping to information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and acute and postacute 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 United States. 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 conducted via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations and high-quality event surveillance. Extensive prepandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these data 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, includingAbstract: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established US prospective cohort studies. Starting as early as 1971, investigators in the C4R cohort studies 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–coronavirus disease 2019 (COVID-19) phenotyping to information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and acute and postacute 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 United States. 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 conducted via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations and high-quality event surveillance. Extensive prepandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these data 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 postacute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term health trajectories. … (more)
- Is Part Of:
- American journal of epidemiology. Volume 191:Issue 7(2022)
- Journal:
- American journal of epidemiology
- Issue:
- Volume 191:Issue 7(2022)
- Issue Display:
- Volume 191, Issue 7 (2022)
- Year:
- 2022
- Volume:
- 191
- Issue:
- 7
- Issue Sort Value:
- 2022-0191-0007-0000
- Page Start:
- 1153
- Page End:
- 1173
- Publication Date:
- 2022-03-12
- Subjects:
- cohort studies -- coronavirus disease 2019 -- COVID-19 -- severe acute respiratory syndrome coronavirus 2
Epidemiology -- Periodicals
Public health -- Periodicals
614.4 - Journal URLs:
- http://aje.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/aje/kwac032 ↗
- Languages:
- English
- ISSNs:
- 0002-9262
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 0824.600000
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