Department of Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
AMIA Annu Symp Proc. 2022 Feb 21;2021:305-313. eCollection 2021.
A wide range of datasets containing geographically distributed measures of the environment and social factors is currently available, and as low-cost sensors and other devices become increasingly used, the volume of these data will continue to grow. Because such factors influence many health outcomes, researchers with varied interests often repeat tasks related to gathering and preparing these data for studies. We created Sensor-based Analysis of Pollution in the Philadelphia Region with Information on Neighborhoods and the Environment (SAPPHIRINE), offered as a web application and package, to integrate pollution, crime, social disadvantage, and traffic data relevant to investigators, citizen scientists, and policy makers in the Greater Philadelphia Area. SAPPHIRINE's capabilities include providing interactive maps and customizable data retrieval to aid in the visual identification of pollution and other factor hotspots, as well as hypothesis generation regarding relationships among these factors and health outcomes.
目前，有大量包含环境和社会因素的地理分布测量值的数据集。随着低成本传感器和其他设备的广泛应用，这些数据的数量还将继续增长。由于这些因素会影响许多健康结果，因此具有不同兴趣的研究人员经常重复与收集和准备这些数据用于研究相关的任务。我们创建了基于传感器的费城地区污染分析与邻里和环境信息（SAPPHIRINE），以网络应用程序和软件包的形式提供，以便整合与大费城地区的调查人员、公民科学家和政策制定者相关的污染、犯罪、社会劣势和交通数据。SAPPHIRINE 的功能包括提供交互式地图和可自定义的数据检索，以帮助直观识别污染和其他因素热点，并生成这些因素与健康结果之间关系的假设。
