部署地理空间可视化仪表板,以应对COVID-19的社会经济影响
Sarbeswar Praharaj1, Patricia Solis1, Elizabeth A Wentz1
1Knowledge Exchange for Resilience, School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA.
概括
大多数COVID-19仪表板缺乏细粒度,社会经济数据和用户可访问性功能. 未来的仪表板应该整合本地化数据和直观的接口,以改善决策和公共卫生洞察力.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 地理空间数据科学数据科学
- 城市分析城市分析.
背景情况:
- 在COVID-19大流行期间,可视化地理空间数据的基于Web的仪表板变得至关重要.
- 现有的文献侧重于用于COVID-19监测的GIS和城市分析,但缺乏对仪表板的社会嵌入性,UI质量和决策实用性的评估.
- 需要评估公共卫生数据可视化工具的有效性和可访问性.
研究的目的:
- 严格评估基于公共网络的COVID-19仪表板的社会嵌入,用户界面质量和决策能力.
- 确定当前仪表板对细分数据,子组分析和社会经济指标的局限性.
- 提出和演示一个开发更有效和更容易访问的数据可视化仪表板的模型.
主要方法:
- 通过使用名义小组技术,对68个基于网络的公共COVID-19仪表板进行了调查.
- 分析了数据细节性,人口子组报告,社会/行为/经济指标的纳入,以及提供元数据和数据下载选项的仪表板.
- 开发了一个原型仪表板 (亚利桑那州的COVID-19经济弹性仪表板),以展示一个改进的模型.
主要成果:
- 大多数仪表板在州和县级提供了广泛的流行病学数据,但缺乏城市/社区级的细节性.
- 在报告影响流行病的社会,行为和经济因素方面发现了重大缺陷.
- 仪表板通常省略元数据,数据下载选项和可视化的解释叙述.
结论:
- 目前的COVID-19仪表板的范围和可访问性有限,无法提供关键的社会经济背景和细节性数据.
- 开发的原型展示了局部化数据,子组分析,清晰叙述和开放数据访问的价值,以提供知情决策.
- 未来的信息系统和数据仪表板应优先考虑以用户为中心的设计,以行动为导向的数据,并加强可访问性,以支持公共卫生倡议.
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