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首页> 外文期刊>Frontiers in Public Health >Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews
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Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews

机译：数字数据来源及其对人民健康的影响：对系统评论的系统审查

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Background: Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restricted access to data sources due to fragmentation, privacy issues, or industry ownership, and the methodological complexity of demonstrating their measurable impact on human health. Even though new big data sources have shown unprecedented potential for disease diagnosis and outbreak detection, we need to investigate results in the existing literature to gain a comprehensive understanding of their impact on and benefits to human health. Objective: A systematic review of systematic reviews on identifying digital data sources and their impact area on people's health, including challenges, opportunities, and good practices. Methods: A multidatabase search was performed. Peer-reviewed papers published between January 2010 and November 2020 relevant to digital data sources on health were extracted, assessed, and reviewed. Results: The 64 reviews are covered by three domains, that is, universal health coverage (UHC), public health emergencies, and healthier populations, defined in WHO's General Programme of Work, 2019–2023, and the European Programme of Work, 2020–2025. In all three categories, social media platforms are the most popular digital data source, accounting for 47% ( N = 8), 84% ( N = 11), and 76% ( N = 26) of studies, respectively. The second most utilized data source are electronic health records (EHRs) ( N = 13), followed by websites ( N = 7) and mass media ( N = 5). In all three categories, the most studied impact of digital data sources is on prevention, management, and intervention of diseases ( N = 40), and as a tool, there are also many studies ( N = 10) on early warning systems for infectious diseases. However, they could also pose health hazards ( N = 13), for instance, by exacerbating mental health issues and promoting smoking and drinking behavior among young people. Conclusions: The digital data sources presented are essential for collecting and mining information about human health. The key impact of social media, electronic health records, and websites is in the area of infectious diseases and early warning systems, and in the area of personal health, that is, on mental health and smoking and drinking prevention. However, further research is required to address privacy, trust, transparency, and interoperability to leverage the potential of data held in multiple datastores and systems. This study also identified the apparent gap in systematic reviews investigating the novel big data streams, Internet of Things (IoT) data streams, and sensor, mobile, and GPS data researched using artificial intelligence, complex network, and other computer science methods, as in this domain systematic reviews are not common.
机译：背景：数字数据源在数字技术时代的现代文化中变得无处不在，但由于碎片，隐私问题或行业所有权，由于对数据来源​​的限制，以及证明他们的方法论复杂性而受到限制的访问对人体健康的可衡量影响。尽管新的大数据来源表现出前所未有的疾病诊断和爆发检测潜力，但我们需要调查现有文献的结果，以全面了解其对人类健康的影响和利益的影响。目的：对识别数字数据来源及其对人民健康影响的系统审查的系统审查，包括挑战，机遇和良好做法。方法：执行多数据库搜索。对2010年1月至2020年11月发表的同行评审论文有关与数字数据来源有关的卫生来源，评估并审查。结果：64条评论是由三个领域的涵盖，即普遍健康覆盖范围（UHC），公共卫生紧急情况和更健康的人口，在世卫组织的一般工作方案，2019-2023和欧洲工作方案，2020年2025。在所有三个类别中，社交媒体平台都是最受欢迎的数字数据源，分别占47％（n = 8），84％（n = 11）和76％（n = 26）的研究。第二个最具利用的数据源是电子健康记录（EHRS）（N = 13），然后是网站（n = 7）和质量媒体（n = 5）。在所有三个类别中，数字数据来源的最多研究源是预防，管理和疾病的干预（n = 40），并且作为一种工具，还有许多研究（n = 10）关于传染性的预警系统疾病。然而，它们也可以通过加剧心理健康问题并促进年轻人之间的吸烟和饮酒行为来构成健康危害（n = 13）。结论：所呈现的数字数据来源对于收集和挖掘有关人类健康的信息至关重要。社交媒体，电子健康记录和网站的关键影响是传染病和预警系统领域，以及在个人健康领域，即心理健康和吸烟和防饮。但是，需要进一步的研究来解决隐私，信任，透明度和互操作性，以利用多个数据存储和系统中持有的数据的潜力。本研究还确定了通过人工智能，复杂网络和其他计算机科学方法研究的新型大数据流，物联网（物联网）数据流和传感器，移动和GPS数据的系统评论中表观差距。该域系统的评论并不常见。

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