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Digital public health: Automation based on new datasets and the Internet of Things
Socio-Economic Planning Sciences ( IF 6.2 ) Pub Date : 2021-03-03 , DOI: 10.1016/j.seps.2021.101039
Elena G. Popkova 1 , Bruno S. Sergi 2
Affiliation  

This paper presents a successfully applied development of new datasets and offers an innovative solution through interactive platforms to gather, process, and analyze big data. The paper shows the capabilities, advantages, and perspectives of using datasets in digital public health amid virus threats, e.g., the COVID-19 pandemic. The paper's contribution to the literature includes developing and applying a solution to implement the digital public health concept connected to creating and expanding datasets. There is a general lack of studies examining the practical impact of technology and big data on “smart” digital public health management and its implications and effects; much is still to uncover in the literature. Instead, this paper supplies intellectual monitoring and “smart” digital public health management based on the Internet of Things (IoT). As artificial intelligence becomes accessible to all, our applied research drew on the dataset “COVID-19 and the 2020 economic crisis figure out healthcare system capabilities and ramifications for the economy and business all over the world.” It applies datasets for intellectual monitoring and “smart” digital public health management based on IoT and artificial intelligence, allowing its use in a wide range of scientific studies and real cases.



中文翻译:

数字公共卫生:基于新数据集和物联网的自动化

本文介绍了新数据集的成功应用开发,并提供了一种通过交互式平台收集、处理和分析大数据的创新解决方案。该论文展示了在病毒威胁(例如 COVID-19 大流行)中在数字公共卫生中使用数据集的能力、优势和前景。该论文对文献的贡献包括开发和应用解决方案来实施与创建和扩展数据集相关的数字公共卫生概念。普遍缺乏研究技术和大数据对“智能”数字公共卫生管理的实际影响及其影响和影响;在文献中还有很多东西有待发现。反而,本文提供基于物联网(IoT)的智能监控和“智能”数字公共卫生管理。随着人工智能变得可供所有人使用,我们的应用研究利用了数据集“COVID-19 和 2020 年经济危机确定了医疗保健系统的能力以及对全球经济和商业的影响”。它将数据集应用于基于物联网和人工智能的智能监控和“智能”数字公共卫生管理,使其可用于广泛的科学研究和真实案例。

更新日期:2021-03-03
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