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Minimizing Viral Transmission in COVID-19 Like Pandemics: Technologies, Challenges, and Opportunities
被引:4
|作者:
Nisar, Shibli
[1
]
Wakeel, Abdul
[1
]
Tahir, Wania
[2
]
Tariq, Muhammad
[3
]
机构:
[1] Natl Univ Sci & Technol NUST, Mil Coll Signals, Dept Elect Engn, Rawalpindi 46000, Pakistan
[2] Balochistan Univ Informat Technol Engn & Managemen, Dept Elect Engn, Quetta 87300, Pakistan
[3] Natl Univ Comp & Emerging Sci, Dept Elect Engn, Islamabad 44000, Pakistan
关键词:
COVID-19;
pandemic;
cellular forensics;
hidden patterns;
tracking systems;
artificial intelligence;
IMPACT;
D O I:
10.1109/JSEN.2022.3170521
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Coronavirus (COVID-19) pandemic has incurred huge loss to human lives throughout the world. Scientists, researchers, and doctors are trying their best to develop and distribute the COVID-19 vaccine throughout the world at the earliest. In current circumstances, different tracking systems are utilized to control or stop the spread of the virus till the whole population of the world gets vaccinated. To track and trace patients in COVID-19 like pandemics, various tracking systems based on different technologies are discussed and compared in this paper. These technologies include, cellular, cyber, satellite-based radio navigation and low range wireless technologies. The main aim of this paper is to conduct a comprehensive survey that can overview all such tracking systems, which are used in minimizing the spread of COVID-19 like pandemics. This paper also highlights the shortcoming of each tracking systems and suggests new mechanisms to overcome such limitations. In addition, the authors propose some futuristic approaches to track patients in prospective pandemics, based on artificial intelligence and big data analysis. Potential research directions, challenges, and the introduction of next-generation tracking systems for minimizing the spread of prospective pandemics, are also discussed at the end.
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页码:922 / 932
页数:11
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