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首页> 外文会议>Annual conference of the International Society of Exposure Science >On-site data collection of environmental attributes and subject data using OpenDataKit/Formhub open-source software for Android mobile devices
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On-site data collection of environmental attributes and subject data using OpenDataKit/Formhub open-source software for Android mobile devices

机译：使用适用于Android移动设备的OpenDataKit / Formhub开源软件对环境属性和主题数据进行现场数据收集

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Background: Spatial attributes of built and natural environments are important predictors in spatial analyses of various outcomes, such as physical activity behavior or health effects from air pollution. Until recently, spatial data collection through on-site audits or interviews has been tedious and costly. New mobile technology offers opportunities for epidemiologic research. Aims: As part of the project "Community on the move [Gemeinde bewegt]" - a pilot project on physical activity and structural factors - a tool for participatory environmental audits by pedestrians and cyclists was developed. Methods: Android-based open-source software (opendatakit.org and formhub.org, ODK/FH) for mobile data collection was used to create a form which records geo-location, requests information on issue of interest, infrastructure, problem at hand and suggested solutions, and captures photos. Forms are easily created in Excel, then on formhub.org converted to XML suited for mobile devices. Data is collected with tablets and uploaded via wireless connection to formhub.org, from where it can be exported for analysis. Online data entry is possible as well. GPS accuracy was evaluated in a separate effort comparing three different tablet types. Community audits with stakeholders were conducted in two and are planned in eight more communities. Assessment of bicycle accident locations will be used in a case-crossover safety study. Results: ODK/FH allows for simple creation and changes of forms or questionnaires for mobile devices without requiring programming skills. GPS accuracy of tested tablets ranges from under 10m up to 30m, sufficient to uniquely identify typical locations of interest in combination with attribute data. Development of forms, handling of the tool, users and data are substantially less time consuming than traditional paper-based approaches. Conclusions: ODK/FH provides a free, efficient and flexible option for on-site collection of environmental attribute and subject data of interest in epidemiologic research with or without spatial components.
机译：背景：在各种结果的空间分析中，例如体育活动或空气污染对健康的影响，建筑环境和自然环境的空间属性是重要的预测指标。直到最近，通过现场审核或采访收集空间数据一直是乏味且昂贵的。新的移动技术为流行病学研究提供了机会。目的：作为“运动中的社区[Gemeinde bewegt]”项目的一部分，该项目是一项有关体育活动和结构因素的试点项目，它是一种用于行人和骑车人参与式环境审核的工具。方法：用于移动数据收集的基于Android的开源软件（opendatakit.org和formhub.org，ODK / FH）用于创建记录地理位置的表格，请求有关感兴趣的问题，基础设施，手头问题的信息和建议的解决方案，并捕获照片。可以轻松地在Excel中创建表单，然后在formhub.org上将其转换为适合移动设备的XML。数据是通过平板电脑收集的，并通过无线连接上传到formhub.org，可以从此处导出以进行分析。也可以在线输入数据。分别比较了三种不同的平板电脑类型，对GPS准确性进行了评估。与利益相关者进行的社区审计在两个社区中进行，并计划在另外八个社区中进行。跨案安全性研究将使用自行车事故发生地点的评估。结果：ODK / FH允许简单地创建和更改移动设备的表格或调查表，而无需编程技能。受测平板电脑的GPS精度范围从10m到30m，足以结合属性数据唯一地识别典型的感兴趣位置。与传统的基于纸张的方法相比，表单的开发，工具，用户和数据的处理显着减少了耗时。结论：ODK / FH为流行病学研究中感兴趣的环境属性和主题数据的现场收集提供了一个免费，有效和灵活的选择，无论是否具有空间成分。

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