Design of the Arizona CoVHORT: A Population-Based COVID-19 Cohort
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 lon...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-02-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2021.620060/full |
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| author | Collin J. Catalfamo Kelly M. Heslin Alexandra Shilen Sana M. Khan Josh R. Hunsaker Erika Austhof Leila Barraza Felina M. Cordova-Marks Leslie V. Farland Pamela Garcia-Filion Joshua Hoskinson Megan Jehn Lindsay N. Kohler Lindsay N. Kohler Karen Lutrick Robin B. Harris Zhao Chen Yann C. Klimentidis Melanie L. Bell Kacey C. Ernst Elizabeth T. Jacobs Elizabeth T. Jacobs Kristen Pogreba-Brown |
| author_facet | Collin J. Catalfamo Kelly M. Heslin Alexandra Shilen Sana M. Khan Josh R. Hunsaker Erika Austhof Leila Barraza Felina M. Cordova-Marks Leslie V. Farland Pamela Garcia-Filion Joshua Hoskinson Megan Jehn Lindsay N. Kohler Lindsay N. Kohler Karen Lutrick Robin B. Harris Zhao Chen Yann C. Klimentidis Melanie L. Bell Kacey C. Ernst Elizabeth T. Jacobs Elizabeth T. Jacobs Kristen Pogreba-Brown |
| author_sort | Collin J. Catalfamo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T05:19:38Z |
| format | Article |
| id | doaj.art-2db8dddddaae46edb257ab5bccd613bb |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-17T05:19:38Z |
| publishDate | 2021-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-2db8dddddaae46edb257ab5bccd613bb2022-12-21T22:02:00ZengFrontiers Media S.A.Frontiers in Public Health2296-25652021-02-01910.3389/fpubh.2021.620060620060Design of the Arizona CoVHORT: A Population-Based COVID-19 CohortCollin J. Catalfamo0Kelly M. Heslin1Alexandra Shilen2Sana M. Khan3Josh R. Hunsaker4Erika Austhof5Leila Barraza6Felina M. Cordova-Marks7Leslie V. Farland8Pamela Garcia-Filion9Joshua Hoskinson10Megan Jehn11Lindsay N. Kohler12Lindsay N. Kohler13Karen Lutrick14Robin B. Harris15Zhao Chen16Yann C. Klimentidis17Melanie L. Bell18Kacey C. Ernst19Elizabeth T. Jacobs20Elizabeth T. Jacobs21Kristen Pogreba-Brown22Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Community, Environment and Policy, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesUniversity of Arizona Cancer Center, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Biomedical Informatics, College of Medicine–Phoenix, The University of Arizona, Phoenix, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesSchool of Human Evolution and Social Change, Arizona State University, Tempe, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Family and Community Medicine, College of Medicine–Tucson, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesUniversity of Arizona Cancer Center, Tucson, AZ, United StatesDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United StatesThis 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.https://www.frontiersin.org/articles/10.3389/fpubh.2021.620060/fullCOVID-19SARS-CoV-2cohort study [or longitudinal study]epidemiologylong-term follow up |
| spellingShingle | Collin J. Catalfamo Kelly M. Heslin Alexandra Shilen Sana M. Khan Josh R. Hunsaker Erika Austhof Leila Barraza Felina M. Cordova-Marks Leslie V. Farland Pamela Garcia-Filion Joshua Hoskinson Megan Jehn Lindsay N. Kohler Lindsay N. Kohler Karen Lutrick Robin B. Harris Zhao Chen Yann C. Klimentidis Melanie L. Bell Kacey C. Ernst Elizabeth T. Jacobs Elizabeth T. Jacobs Kristen Pogreba-Brown Design of the Arizona CoVHORT: A Population-Based COVID-19 Cohort Frontiers in Public Health COVID-19 SARS-CoV-2 cohort study [or longitudinal study] epidemiology long-term follow up |
| title | Design of the Arizona CoVHORT: A Population-Based COVID-19 Cohort |
| title_full | Design of the Arizona CoVHORT: A Population-Based COVID-19 Cohort |
| title_fullStr | Design of the Arizona CoVHORT: A Population-Based COVID-19 Cohort |
| title_full_unstemmed | Design of the Arizona CoVHORT: A Population-Based COVID-19 Cohort |
| title_short | Design of the Arizona CoVHORT: A Population-Based COVID-19 Cohort |
| title_sort | design of the arizona covhort a population based covid 19 cohort |
| topic | COVID-19 SARS-CoV-2 cohort study [or longitudinal study] epidemiology long-term follow up |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2021.620060/full |
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