PDF(Pubmed)
Abstract：
Access to local, population specific, and timely data is vital in understanding factors that impact population health. The impact of place (neighborhood, census tract, and city) is particularly important in understanding the Social Determinants of Health. The University of Rochester Medical Center\'s Clinical and Translational Science Institute created the web-based tool RocHealthData.org to provide access to thousands of geographically displayed publicly available health-related datasets. The site has also hosted a variety of locally curated datasets (eg., COVID-19 vaccination rates and community-derived health indicators), helping set community priorities and impacting outcomes. Usage statistics (available through Google Analytics) show returning visitors with a lower bounce rate (leaving a site after a single page access) and spent longer at the site than new visitors. Of the currently registered 1033 users, 51.7% were from within our host university, 20.1% were from another educational institution, and 28.2% identified as community members. Our assessments indicate that these data are useful and valued across a variety of domains. Continuing site improvement depends on new sources of locally relevant data, as well as increased usage of data beyond our local region.
摘要：
访问本地,特定人群，及时的数据对于了解影响人口健康的因素至关重要。地点的影响(邻里，人口普查道，和城市)在理解健康的社会决定因素方面尤为重要。罗切斯特大学医学中心的临床和转化科学研究所创建了基于网络的工具RocHealthData.org，以提供对数千个在地理上显示的公共健康相关数据集的访问。该网站还托管了各种本地策划的数据集(例如。,COVID-19疫苗接种率和社区衍生的健康指标)，帮助设定社区优先事项并影响结果。使用统计信息（可通过GoogleAnalytics（分析）获得）显示，返回访问者的跳出率较低（在访问单个页面后离开网站），并且在网站上花费的时间比新访问者更长。在当前注册的1033个用户中，51.7%来自我们所在的大学，20.1%来自另一所教育机构,28.2%被认定为社区成员。我们的评估表明，这些数据在各个领域都是有用和有价值的。网站的持续改善取决于当地相关数据的新来源，以及我们当地地区以外的数据使用量增加。
