A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact
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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.
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In nature, the essence of the COVID-19 pandemic itself is distributed.
“In nature, the essence of the COVID-19 pandemic itself is distributed [293].”
From A survey on the adoption of blockchain in IoT: challenges and solutions (2021) · cites this paper as [293]
Blockchain and AI are able to provide viable solutions to cope with the coronavirus epidemic from various aspects.
“Blockchain and AI are able to provide viable solutions to cope with the coronavirus epidemic from various aspects (Chamola et al. 2020).”
From Blockchain and Artificial Intelligence Technology in E-Health (2021) · cites this paper as Chamola et al. 2020
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Motion Artifact Removal Techniques for Wearable EEG and PPG Sensor Systems
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Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics
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Blockchain-Based Solution for COVID-19 Digital Medical Passports and Immunity Certificates
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Self-citationThe Internet of Drones: Requirements, Taxonomy, Recent Advances, and Challenges of Research Trends
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Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care
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Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors
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AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges
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Brain-Computer Interface-Based Humanoid Control: A Review
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- Authors
- Chamola, V., Hassija, V., Gupta, V., & Guizani, M.
- Affiliations
- Birla Institute of Technology and Science, Pilani (IN)
- Jaypee Institute of Information Technology (IN)
- Qatar University (QA)
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 90225-90265
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3023617420
- Cited by
- 1,099
- References
- 56
- Citations by year
- 2026: 29 · 2025: 69 · 2024: 97 · 2023: 179 · 2022: 259 · 2021: 359 · 2020: 107
- FWCI
- 212.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- Qatar National Research Fund (NPRP10-1205-160012)
- Topics
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
- Keywords
- COVID-19 pandemic, Internet of Things, unmanned aerial vehicles, artificial intelligence, blockchain, 5G, healthcare burden, lockdown, economic impact, misinformation
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