Emerging technologies for the management of COVID19: A review

被引:0
|
作者
Zafar N. [1 ]
Ahamed J. [1 ]
机构
[1] Department of CS&IT, Maulana Azad National Urdu University, Hyderabad
来源
Sustainable Operations and Computers | 2022年 / 3卷
关键词
Artificial intelligence; COVID19; Internet of things; Machine learning and deep learning; Pandemic;
D O I
10.1016/j.susoc.2022.05.002
中图分类号
学科分类号
摘要
The outbreak of COVID19 has put a halt on life over the globe. For a while, everything was stopped except the spread of disease and mortality rate. This has become the greatest challenge of decade to deal with it. Globally, scientists and researchers were busy in finding a way to deal with this deadly pandemic. As this pandemic breaks out a huge demand for healthcare equipment, medicinal facilities has been rises and Industry 4.0 seems to be a hope during this pandemic which has potential to satisfy all these needs. In the battle, against this pandemic branches of computer science: Artificial Intelligence(AI), Internet of Things(IoT), Robotics, Machine Learning(ML) and Deep Learning(DL) played very important roles. Without the help of IoT and Robotics it would be impossible for frontline warriors to remain contactless with an infected person. Meanwhile, rapid testing, prediction of disease, sentiment analysis of population and many more would be only possible due to presence ML and DL algorithms. Undoubtedly, if this pandemichappened before the emergence of AI, IoT, ML, DL and Robotics; then the aftermath will surely be something else. This paper will highlight the contribution of these technologies in handling this pandemic from its treatment to management. This paper will give idea about the role of technologies, their affects, solutions provided by them, improvement needed in healthcare facilities, their role in managing sentiments of public during pandemic. The innovative part of this paper is that we are exploring each field of industry 4.0 and observing which plays the most important role. © 2022
引用
收藏
页码:249 / 257
页数:8
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