Mohsan Syed Agha Hassnain, Zahra Qurat Ul Ain, Khan Muhammad Asghar, Alsharif Mohammed H, Elhaty Ismail A, Jahid Abu
Optical Communications Laboratory, Ocean College, Zhejiang University, Zheda Road 1, Zhoushan 316021, China.
Department of Biomedical Engineering, Biomedical Imaging Centre, University of Science and Technology of China, Hefei 5230026, China.
Micromachines (Basel). 2022 Sep 25;13(10):1593. doi: 10.3390/mi13101593.
The COVID-19 pandemic, caused by a new coronavirus, has affected economic and social standards as governments and healthcare regulatory agencies throughout the world expressed worry and explored harsh preventative measures to counteract the disease's spread and intensity. Several academics and experts are primarily concerned with halting the continuous spread of the unique virus. Social separation, the closing of borders, the avoidance of big gatherings, contactless transit, and quarantine are important methods. Multiple nations employ autonomous, digital, wireless, and other promising technologies to tackle this coronary pneumonia. This research examines a number of potential technologies, including unmanned aerial vehicles (UAVs), artificial intelligence (AI), blockchain, deep learning (DL), the Internet of Things (IoT), edge computing, and virtual reality (VR), in an effort to mitigate the danger of COVID-19. Due to their ability to transport food and medical supplies to a specific location, UAVs are currently being utilized as an innovative method to combat this illness. This research intends to examine the possibilities of UAVs in the context of the COVID-19 pandemic from several angles. UAVs offer intriguing options for delivering medical supplies, spraying disinfectants, broadcasting communications, conducting surveillance, inspecting, and screening patients for infection. This article examines the use of drones in healthcare as well as the advantages and disadvantages of strict adoption. Finally, challenges, opportunities, and future work are discussed to assist in adopting drone technology to tackle COVID-19-like diseases.
由新型冠状病毒引起的新冠疫情,已经影响到经济和社会标准,世界各地的政府和医疗监管机构对此表示担忧,并探索严厉的预防措施以对抗该疾病的传播和严重程度。一些学者和专家主要关注阻止这种独特病毒的持续传播。社交隔离、关闭边境、避免大型集会、非接触式交通和检疫是重要手段。多个国家采用自主、数字、无线和其他有前景的技术来应对这种新冠肺炎。本研究考察了一些潜在技术,包括无人机、人工智能、区块链、深度学习、物联网、边缘计算和虚拟现实,以努力降低新冠疫情的风险。由于无人机能够将食品和医疗物资运送到特定地点,目前它正被用作对抗这种疾病的一种创新方法。本研究旨在从多个角度审视无人机在新冠疫情背景下的可能性。无人机在运送医疗物资、喷洒消毒剂、广播通信、进行监测、检查以及筛查患者是否感染方面提供了有趣的选择。本文探讨了无人机在医疗保健中的应用以及严格采用的优缺点。最后,讨论了挑战、机遇和未来工作,以帮助采用无人机技术来应对类似新冠的疾病。