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Design of the Arizona CoVHORT: A Population-Based COVID-19 Cohort.
Catalfamo, Collin J; Heslin, Kelly M; Shilen, Alexandra; Khan, Sana M; Hunsaker, Josh R; Austhof, Erika; Barraza, Leila; Cordova-Marks, Felina M; Farland, Leslie V; Garcia-Filion, Pamela; Hoskinson, Joshua; Jehn, Megan; Kohler, Lindsay N; Lutrick, Karen; Harris, Robin B; Chen, Zhao; Klimentidis, Yann C; Bell, Melanie L; Ernst, Kacey C; Jacobs, Elizabeth T; Pogreba-Brown, Kristen.
Affiliation
  • Catalfamo CJ; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Heslin KM; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Shilen A; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Khan SM; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Hunsaker JR; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Austhof E; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Barraza L; Department of Community, Environment and Policy, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Cordova-Marks FM; University of Arizona Cancer Center, Tucson, AZ, United States.
  • Farland LV; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Garcia-Filion P; Department of Biomedical Informatics, College of Medicine-Phoenix, The University of Arizona, Phoenix, AZ, United States.
  • Hoskinson J; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Jehn M; School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, United States.
  • Kohler LN; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Lutrick K; Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Harris RB; Department of Family and Community Medicine, College of Medicine-Tucson, The University of Arizona, Tucson, AZ, United States.
  • Chen Z; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Klimentidis YC; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Bell ML; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Ernst KC; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Jacobs ET; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
  • Pogreba-Brown K; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
Front Public Health ; 9: 620060, 2021.
Article in En | MEDLINE | ID: mdl-33643990
ABSTRACT
This study is a prospective, population-based cohort of individuals with a history of SARS-CoV-2 infection and those without past infection through multiple recruitment sources. The main study goal is to track health status over time, within the diverse populations of Arizona and to identify the long-term consequences of COVID-19 on health and well-being. A total of 2,881 study participants (16.2% with a confirmed SARS-CoV-2 infection) have been enrolled as of December 22, 2020, with a target enrollment of 10,000 participants and a planned follow-up of at least 2 years. This manuscript describes a scalable study design that utilizes a wide range of recruitment sources, leveraging electronic data collection to capture and link longitudinal participant data on the current and emerging issues associated with the COVID-19 pandemic. The cohort is built within a collaborative infrastructure that includes new and established partnerships with multiple stakeholders, including the state's public universities, local health departments, tribes, and tribal organizations. Challenges remain for ensuring recruitment of diverse participants and participant retention, although the electronic data management system and timing of participant contact can help to mitigate these problems.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Health Status / Program Development / Population Health / COVID-19 Type of study: Observational_studies / Prognostic_studies Aspects: Determinantes_sociais_saude / Patient_preference Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Front Public Health Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Health Status / Program Development / Population Health / COVID-19 Type of study: Observational_studies / Prognostic_studies Aspects: Determinantes_sociais_saude / Patient_preference Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Front Public Health Year: 2021 Document type: Article Affiliation country: