Lin Chin-Feng, Chang Shun-Hsyung
Department of Electrical Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan.
Department of Microelectronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 81157, Taiwan.
Sensors (Basel). 2023 Sep 12;23(18):7817. doi: 10.3390/s23187817.
The coronavirus disease 2019 (COVID-19) pandemic has severely affected people's lives worldwide in an unexpected manner. According to the World Health Organization (WHO), several viral epidemics continue to occur and pose a significant public health problem. Until May 2023, there have been 676 million cases of COVID-19 infections and over 6.8 million deaths, globally. This paper surveys the role and effectiveness of advanced fifth-generation (5G)/beyond 5G (B5G)/sixth-generation (6G) technologies, combined with mobile applications (apps) and the Internet of Medical Things (IoMT), in detecting, managing, and mitigating the spread of COVID-19 and designing smart healthcare infrastructures for future pandemics. Analyzing and summarizing the research of relevant scholars based on the impact of 5G/B5G/6G and other technologies on COVID-19. The study tabulates the technical characteristics and effectiveness of different technologies in the context of COVID-19, summarizing the research of previous scholars. Challenges and design issues in the implementation of advanced information and telecommunication systems were demonstrated. These technologies can inspire the design of smart healthcare infrastructures to combat future virus pandemics.
2019年冠状病毒病(COVID-19)大流行以意想不到的方式严重影响了全球人民的生活。根据世界卫生组织(WHO)的数据,几种病毒性流行病仍在不断发生,并构成了重大的公共卫生问题。截至2023年5月,全球已有6.76亿例COVID-19感染病例,死亡人数超过680万。本文探讨了先进的第五代(5G)/5G之后(B5G)/第六代(6G)技术,结合移动应用程序(应用)和医疗物联网(IoMT),在检测、管理和减轻COVID-19传播以及为未来大流行设计智能医疗基础设施方面的作用和有效性。基于5G/B5G/6G等技术对COVID-19的影响,分析和总结相关学者的研究。该研究列出了不同技术在COVID-19背景下的技术特征和有效性,总结了以往学者的研究。展示了先进信息和电信系统实施中的挑战和设计问题。这些技术可以启发智能医疗基础设施的设计,以对抗未来的病毒大流行。