Emerging technologies for the management of COVID19: A review

Nadiya Zafar, Jameel Ahamed
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引用次数: 2

Abstract

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.

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2019冠状病毒病管理新技术综述
2019冠状病毒病的爆发使全球生活陷入停顿。有一段时间,除了疾病的传播和死亡率之外,一切都停止了。这已成为十年来应对的最大挑战。在全球范围内,科学家和研究人员正忙于寻找应对这种致命流行病的方法。由于这次大流行爆发了对医疗设备的巨大需求,医疗设施一直在增加,在这次大流行期间,工业4.0似乎是一个希望,有可能满足所有这些需求。在对抗这场流行病的战斗中,计算机科学的分支:人工智能(AI)、物联网(IoT)、机器人、机器学习(ML)和深度学习(DL)发挥了非常重要的作用。如果没有物联网和机器人技术的帮助,前线战士不可能与感染者保持无接触。同时,由于ML和DL算法的存在,快速测试、疾病预测、人口情绪分析等将成为可能。毫无疑问,如果这场大流行发生在人工智能、物联网、机器学习、深度学习和机器人技术出现之前;那么后果肯定会是另一番景象。本文将重点介绍这些技术从治疗到管理在处理这一流行病方面的贡献。本文将介绍技术的作用,它们的影响,它们提供的解决方案,卫生保健设施所需的改进,它们在大流行期间管理公众情绪方面的作用。本文的创新之处在于,我们正在探索工业4.0的各个领域,并观察哪个领域发挥着最重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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