论文标题

COVID-19期间数字健康监视系统的概述:公共卫生问题和误解

Overview of digital health surveillance system during COVID-19 pandemic: public health issues and misapprehensions

论文作者

Hussein, Molla Rashied, Apu, Ehsanul Hoque, Shahabuddin, Shahriar, Shams, Abdullah Bin, Kabir, Russell

论文摘要

如果没有适当的药物和疫苗接种,则许多政府正在使用自动化的数字医疗保健监视系统来预防和控制扩散。没有足够的文献来解释关注和隐私问题;因此,我们简要解释了本文的主题。我们专注于数字医疗保健监视系统的隐私问题和不同的细分市场。进一步的研究应在不同部门进行。本文提供了基于发表文章的概述,这些文章并不关注更多的隐私问题。人工智能和5G网络结合了先进的数字医疗保健监视系统;而基于蓝牙的接触跟踪系统的隐私问题较少。需要更多的研究来找到适当的数字医疗保健监视系统,这将是监测,控制和预测COVID-19轨迹的理想选择。

Without proper medication and vaccination for the COVID-19, many governments are using automated digital healthcare surveillance system to prevent and control the spread. There is not enough literature explaining the concerns and privacy issues; hence, we have briefly explained the topics in this paper. We focused on digital healthcare surveillance system's privacy concerns and different segments. Further research studies should be conducted in different sectors. This paper provides an overview based on the published articles, which are not focusing on the privacy issues that much. Artificial intelligence and 5G networks combine the advanced digital healthcare surveillance system; whereas Bluetooth-based contact tracing systems have fewer privacy concerns. More studies are required to find the appropriate digital healthcare surveillance system, which would be ideal for monitoring, controlling, and predicting the COVID-19 trajectory.

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