Subramanian Malliga, Shanmuga Vadivel Kogilavani, Hatamleh Wesam Atef, Alnuaim Abeer Ali, Abdelhady Mohamed, V E Sathishkumar
Department of Computer Science and Engineering Kongu Engineering College Perundurai Tamilnadu India.
Department of Computer Science, College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia.
Expert Syst. 2022 Jul;39(6):e12834. doi: 10.1111/exsy.12834. Epub 2021 Oct 6.
Following the COVID-19 pandemic, there has been an increase in interest in using digital resources to contain pandemics. To avoid, detect, monitor, regulate, track, and manage diseases, predict outbreaks and conduct data analysis and decision-making processes, a variety of digital technologies are used, ranging from artificial intelligence (AI)-powered machine learning (ML) or deep learning (DL) focused applications to blockchain technology and big data analytics enabled by cloud computing and the internet of things (IoT). In this paper, we look at how emerging technologies such as the IoT and sensors, AI, ML, DL, blockchain, augmented reality, virtual reality, cloud computing, big data, robots and drones, intelligent mobile apps, and 5G are advancing health care and paving the way to combat the COVID-19 pandemic. The aim of this research is to look at possible technologies, processes, and tools for addressing COVID-19 issues such as pre-screening, early detection, monitoring infected/quarantined individuals, forecasting future infection rates, and more. We also look at the research possibilities that have arisen as a result of the use of emerging technology to handle the COVID-19 crisis.
在新冠疫情之后，人们对利用数字资源控制疫情的兴趣有所增加。为了避免、检测、监测、管控、追踪和管理疾病，预测疫情爆发并进行数据分析和决策过程，人们使用了各种数字技术，从以人工智能（AI）为动力的机器学习（ML）或深度学习（DL）应用到区块链技术以及由云计算和物联网（IoT）实现的大数据分析。在本文中，我们探讨物联网和传感器、AI、ML、DL、区块链、增强现实、虚拟现实、云计算、大数据、机器人和无人机、智能移动应用以及5G等新兴技术如何推动医疗保健发展并为抗击新冠疫情铺平道路。本研究的目的是探讨应对新冠疫情问题（如预检、早期检测、监测感染者/被隔离者、预测未来感染率等）的可能技术、流程和工具。我们还研究了因使用新兴技术应对新冠疫情危机而产生的研究可能性。
