Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
Department of Community, Environment and Policy, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States.
Front Public Health. 2021 Feb 10;9:620060. doi: 10.3389/fpubh.2021.620060. eCollection 2021.
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.
本研究是一项前瞻性、基于人群的队列研究,纳入了有 SARS-CoV-2 感染史的个体和无既往感染史的个体,通过多种招募来源。主要研究目的是跟踪亚利桑那州不同人群的健康状况,并确定 COVID-19 对健康和幸福感的长期影响。截至 2020 年 12 月 22 日,共招募了 2881 名研究参与者(16.2%的参与者被确诊为 SARS-CoV-2 感染),目标招募人数为 10000 人,计划随访至少 2 年。本手稿描述了一种可扩展的研究设计,利用广泛的招募来源,利用电子数据收集来捕获和链接与 COVID-19 大流行相关的当前和新出现问题的纵向参与者数据。该队列是在一个协作基础设施内建立的,包括与多个利益相关者(包括该州的公立大学、地方卫生部门、部落和部落组织)的新的和现有的合作伙伴关系。确保招募不同的参与者和保留参与者仍然存在挑战,尽管电子数据管理系统和参与者联系的时间可以帮助缓解这些问题。