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Building issue-data maps to support the resolution of socio-national issues: Focusing on the issue of increase in domestic inflow of foreign infectious diseases

机译:建立问题数据图以支持解决社会民族问题:关注外国传染病的国内流入增加问题

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Owing to the development of big-data-related technology, interest on systematic methodology that determines policies has been increasing based on data in the public health field. In this study, a method is proposed to establish an issue data map required to discover main national and social issues based on the data and solve issues through cooperation with domain experts. First, main issues with socially high interest are selected through literature review and analysis on news and search trends. Next, the factors that influence these selected issues are analyzed, and specific monitoring items of each driving force are selected to investigate the related data. In addition, a map is established to interconnect researchers with considerable experience in issue domain research and policy decision organizations that have decision-making capacity to solve the issues. This study empirically shows the process of establishing an issue map on a main social issue, which is the “increase in domestic inflow of foreign infectious diseases.” Efficient policy decision making will be possible if an issue-detection system that enables constant monitoring based on this issue map is established.
机译:由于与大数据相关的技术的发展,人们对基于公共卫生领域数据的政策决定系统方法的兴趣日益增加。在这项研究中,提出了一种方法来建立问题数据图,以根据数据发现主要的国家和社会问题并通过与领域专家的合作解决问题。首先,通过对新闻和搜索趋势的文献回顾和分析来选择具有社会高度兴趣的主要问题。接下来,分析影响这些选定问题的因素,并选择每个驱动力的特定监视项目以调查相关数据。此外,还建立了一个地图,以将具有在问题领域研究和具有决策能力来解决问题的政策决策组织的丰富经验的研究人员联系起来。这项研究从经验上展示了针对主要社会问题(即“外国传染病的国内流入量的增加”)建立问题图谱的过程。如果建立了一个能够基于此问题图进行持续监视的问题检测系统,则可以进行有效的政策决策。

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