A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact
By Vinay Chamola, Vikas Hassija, Vatsal Gupta, Mohsen Guizani. IEEE Access, 2020
829 citations recorded by the source corpus.
The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID-19 by the World Health Organization (WHO), has placed numerous governments around the world in a precarious position. The impact of the COVID-19 outbreak, earlier witnessed by the citizens of China alone, has now become a matter of grave concern for virtually every country in the world. The scarcity of resources to endure the COVID-19 outbreak combined with the fear of overburdened healthcare systems has forced a majority of these countries into a state of partial or complete lockdown. The number of laboratory-confirmed coronavirus cases has been increasing at an alarming rate throughout the world, with reportedly more than 3 million confirmed cases as of 30 April 2020. Adding to these woes, numerous false reports, misinformation, and unsolicited fears in regards to coronavirus, are being circulated regularly since the outbreak of the COVID-19. In response to such acts, we draw on various reliable sources to present a detailed review of all the major aspects associated with the COVID-19 pandemic. In addition to the direct health implications associated with the outbreak of COVID-19, this study highlights its impact on the global economy. In drawing things to a close, we explore the use of technologies such as the Internet of Things (IoT), Unmanned Aerial Vehicles (UAVs), blockchain, Artificial Intelligence (AI), and 5G, among others, to help mitigate the impact of COVID-19 outbreak.
Subfields: Economics and Econometrics, Modeling and Simulation, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/9fbbd520f24a810a4278e1054f04f481d417c8bd
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In Economics and Econometrics
In Radiology, Nuclear Medicine and Imaging
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Citations in the corpus
- Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges (2020, background): “UAVs have also been successfully used for monitoring the civilian movements and social gatherings, make announcements in rural or remote areas about the rules of lockdown to combat the Covid-19 pandemic, thereby reducing the risk of police and health authorities being infected by the disease [7].”
- Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges (2020, background): “However, there are still various challenges to overcome, such as safety of humans in cases of UAVs failure especially beyond visible line of sight, battery life, lack of clear government regulations and load carrying capacity (Barmpounakis et al., 2017; Mualla et al., 2019; Chamola et al., 2020).”
- A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques (2020, positive): “Notably, UAVs are being used for crowd surveillance, public announcements, and sanitizing public places to help in managing the COVID-19 pandemic [10].”
- Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts (2020, background): “, drones, IoT, localization) can be utilized to combat the COVID-19 pandemic [143] via a number of applications, such as delivery of testing samples, goods transport, social distancing, and people’s movement monitoring for outbreak tracking.”
- Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021, neutral): “12 considerably, leading to sharp drops in sales (Chamola et al., 2020; Craighead & Ketchen, 2020).”
- Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model (2021, neutral): “1 .”