Spatial video geonarratives and health: case studies in post-disaster recovery, crime, mosquito control and tuberculosis in the homeless.
Spatial video geonarratives and health: case studies in post-disaster recovery, crime, mosquito control and tuberculosis in the homeless.
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DOI：
10.1186/s12942-015-0014-8
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发表时间：
2015-08-08
影响因子：
4.9
通讯作者：
Kerndt PR
中科院分区：
文献类型：
--
作者：
Curtis A;Curtis JW;Shook E;Smith S;Jefferis E;Porter L;Schuch L;Felix C;Kerndt PR
公共卫生和医疗界最近呼吁了解患者生活的社区背景，以改善教育和治疗。为此，需要能够收集“上下文”特征的方法，同时补充更传统数据的空间分析。这也需要在标准化、可转移、易于实施的框架内进行。空间视频地理叙事 (SVG) 是一种环境提示叙事，其中地点用于激发有关某个区域的精细地理特征及其发生背景的讨论。这是一种简单而强大的方法，可以收集专家和居民对地方健康相关的看法和体验并进行空间分析。参与者在引导司机穿过该地区的同时评论他们生活或工作的地方。车辆上安装了四个支持 GPS 的摄像头，用于捕捉参与者观察和讨论的地点。该叙述的音频记录通过时间戳链接到视频。然后使用程序（G 代码）将每个单词地理标记为地理信息系统 (GIS) 中的一个点。然后可以对叙述文本执行查询和密度分析，以识别一个叙述内或跨多个叙述的空间模式。通过有关灾后精神病理学、犯罪、蚊子控制和无家可归人群结核病的案例研究来说明这种方法。 SVG 可用于映射环境的个人、群体或有争议的群体上下文。该方法还可以收集缺乏传统空间数据的群体的数据。此外，SVG 还提供了一种在空间上捕获、绘制和存档机构知识的方法。 SVG GIS 输出可用作定性和/或空间分析的输入，从而推进理论发展。 SVG 还可用于获得近乎实时的洞察力，从而支持应用干预措施。相对于现有地理叙事方法的进步包括同时收集视频数据以直观地支持任何评论，以及易于应用使其成为跨不同环境和技能组的可转移方法。
A call has recently been made by the public health and medical communities to understand the neighborhood context of a patient’s life in order to improve education and treatment. To do this, methods are required that can collect “contextual” characteristics while complementing the spatial analysis of more traditional data. This also needs to happen within a standardized, transferable, easy-to-implement framework. The Spatial Video Geonarrative (SVG) is an environmentally-cued narrative where place is used to stimulate discussion about fine-scale geographic characteristics of an area and the context of their occurrence. It is a simple yet powerful approach to enable collection and spatial analysis of expert and resident health-related perceptions and experiences of places. Participants comment about where they live or work while guiding a driver through the area. Four GPS-enabled cameras are attached to the vehicle to capture the places that are observed and discussed by the participant. Audio recording of this narrative is linked to the video via time stamp. A program (G-Code) is then used to geotag each word as a point in a geographic information system (GIS). Querying and density analysis can then be performed on the narrative text to identify spatial patterns within one narrative or across multiple narratives. This approach is illustrated using case studies on post-disaster psychopathology, crime, mosquito control, and TB in homeless populations. SVG can be used to map individual, group, or contested group context for an environment. The method can also gather data for cohorts where traditional spatial data are absent. In addition, SVG provides a means to spatially capture, map and archive institutional knowledge. SVG GIS output can be used to advance theory by being used as input into qualitative and/or spatial analyses. SVG can also be used to gain near-real time insight therefore supporting applied interventions. Advances over existing geonarrative approaches include the simultaneous collection of video data to visually support any commentary, and the ease-of-application making it a transferable method across different environments and skillsets.