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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
The COVID-19 Community Research Partnership: A multistate surveillance platform for characterizing the epidemiology of the SARS-CoV-2 pandemic
Biology Methods and Protocols, Volume 7, No. 1, Article bpac033, Year 2022
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Description
The COVID-19 Community Research Partnership (CCRP) is a multisite surveillance platform designed to characterize the epidemiology of the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-COV-2) pandemic. This article describes the CCRP study design and methodology. The CCRP includes two prospective cohorts, one with six health systems in the mid-Atlantic and southern USA, and the other with six health systems in North Carolina. With enrollment beginning in April 2020, sites invited persons within their healthcare systems as well as community members to participate in daily surveillance for symptoms of COVID-like illnesses, testing, and risk behaviors. Participants with electronic health records (EHRs) were also asked to volunteer data access. Subsets of participants, representative of the general population and including oversampling of populations of interest, were selected for repeated at-home serology testing. By October 2021, 65 739 participants (62 261 adult and 3478 pediatric) were enrolled, with 89% providing syndromic data, 74% providing EHR data, and 70% participating in one of the two serology sub-studies. An average of 62% of the participants completed a daily survey at least once a week, and 55% of the serology kits were returned. The CCRP provides rich regional epidemiologic data and the opportunity to more fully characterize the risks and sequelae of SARS-CoV-2 infection. © 2022 The Author(s). Published by Oxford University Press.
Authors & Co-Authors
Wierzba, Thomas F.
Unknown Affiliation
Sanders, John Walton
Unknown Affiliation
Espeland, Mark Andrew
Unknown Affiliation
Bertoni, Alain G.
Unknown Affiliation
Mathews, Allison Christine
Unknown Affiliation
Rushing, Scott
Unknown Affiliation
Wilson, Kenneth C.M.
Unknown Affiliation
Runyon, Michael S.
Unknown Affiliation
Ahmed, Amina
Unknown Affiliation
Hogg, Melanie M.
Unknown Affiliation
Weintraub, William S.
Unknown Affiliation
Kolm, Paul
Unknown Affiliation
Oberhelman, Richard A.
Unknown Affiliation
Keating, Joseph A.
Unknown Affiliation
Schieffelin, John S.
Unknown Affiliation
Yukich, Joshua O.
Unknown Affiliation
Kotloff, Karen L.
Unknown Affiliation
Chen, Wilbur H.
Unknown Affiliation
Friedman-Klabanoff, De Anna J.
Unknown Affiliation
Berry, Andrea A.
Unknown Affiliation
Powell, Helen
Unknown Affiliation
Correa, Adolfo
Unknown Affiliation
Gao, Yan
Unknown Affiliation
Raafat, Mohamed
Unknown Affiliation
Santacatterina, Michele
Unknown Affiliation
Renteria, Jone
Unknown Affiliation
Mores, Christopher N.
Unknown Affiliation
Porzucek, Abigail J.
Unknown Affiliation
Zeger, Scott L.
Unknown Affiliation
Reilly, Cavan S.
Unknown Affiliation
Redd, Stephen C.
United States, Winston Salem
Wake Forest Baptist Health
Statistics
Citations: 6
Authors: 31
Affiliations: 1
Identifiers
Doi:
10.1093/biomethods/bpac033
ISSN:
23968923
Research Areas
Covid
Health System And Policy
Study Design
Cross Sectional Study
Cohort Study
Study Approach
Quantitative