Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Health and Exercise Science, Appalachian State University, Boone, NC, USA.
J Am Coll Health. 2024 May-Jun;72(4):1019-1022. doi: 10.1080/07448481.2022.2074277. Epub 2022 May 12.
This study's purpose was to explore universities' online dashboards that communicate information about COVID-19 cases to campus communities, and if dashboards adhere to American College Health Association (ACHA) recommendations. : The websites of all four-year, public universities with an enrollment of at least 10,000 students were analyzed for the presence of COVID-19 dashboards, if dashboards contained recommended case features (eg, number of cases, tests, and people in quarantine/isolation), as well as other helpful features (eg, epidemiological curve, cluster information). : Of the 263 universities included in the study, 76% had a dashboard, but only 15% contained all recommended features. Most (62%) had an epidemiological curve, but few (3%) reported information related to clusters. : Dashboards display case information and encourage behavior change; however, there is a need for improved adherence to the ACHA's recommendations for COVID-19 dashboards to maximize their potential impact on campus communities.
本研究旨在探讨向校园社区通报 COVID-19 病例的大学在线数据看板,以及这些数据看板是否符合美国大学健康协会 (ACHA) 的建议。对所有四学年制、招生人数至少为 10000 人的公立大学的网站进行了分析,以了解是否存在 COVID-19 数据看板,如果存在数据看板,是否包含了建议的病例特征(例如,病例数量、检测数量和隔离/检疫人数),以及其他有用的特征(例如,流行病学曲线、集群信息)。在这项研究中包含的 263 所大学中,有 76%的大学有数据看板,但只有 15%的数据看板包含了所有建议的特征。大多数(62%)有流行病学曲线,但只有很少(3%)报告了与集群相关的信息。数据看板展示病例信息并鼓励行为改变;然而,需要更好地遵守 ACHA 关于 COVID-19 数据看板的建议,以最大限度地发挥其对校园社区的潜在影响。