Cited by 1,099Healthcare during COVID-19 PandemicInternet of Things and AIAdvanced Data and IoT Technologies

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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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Chamola, Vinay, Hassija, Vikas, Gupta, Vatsal, Guizani, Mohsen·2020·IEEE Access

DOI 10.1109/access.2020.2992341

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Abstract

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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Supervision design with clinical approach to improve principal managerial competence: Secondary data database analysis
Bangkara, B. M. A. S. A., Maruf, I. R., Stiadi, M., Sinaulan, J. H., & Nirwana, A. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns4.7167
Internet of Things (IoT) adoption model for early identification and monitoring of COVID-19 cases: a systematic review (Preprint)Preprint
Kazemi-Arpanahi, H., Shanbehzadeh, M., & Mobarak, S. (2020) · doi:10.2196/preprints.25769
A Roadmap to Nextgen Aircraft Control for Last Mile Delivery DronesPreprint
Marcondes, C. A. C., Loubach, D. S., Sbruzzi, E. F., Verri, F. A. N., Marques, J., Pereira, L. A., Máximo, M. R. O. A., & Curtis, V. (2021) · doi:10.36227/techrxiv.14347655
Role of Wireless Communications in Digital Economy in the Present Context
Revathi, S., Shrivastava, A., Yussupova, A., Hidayatulloh, A. N., Daurbekova, S., & Mishra, A. (2022) · International Conference on Trends in Electronics and Informatics (ICOEI) · doi:10.1109/icoei53556.2022.9777115
IoT Medicine in COVID-19 Detection and Emergency Ambulance Alert with Hand Sanitizer
Paul, P. N., & Sagayam, K. M. (2022) · International Conference on Devices, Circuits and Systems (ICDCS) · doi:10.1109/icdcs54290.2022.9780816
Health Detection System for COVID‐19 Patients Using IoT
Patil, D. P., Badane, K., Mishra, A. K., & Wankhede, V. A. (2022) · doi:10.1002/9781119819165.ch13
SENTIMENT ANALYSIS OF PEOPLE DURING COVID- 19 USING SVM AND LOGISTIC REGRESSION ANALYSIS
Majumder, S., Aich, A., & Das, S. (2022) · EPRA International Journal of Multidisciplinary Research (IJMR) · doi:10.36713/epra10424
Monitoring Social Distancing Violation
Kumar, B. R., Sruthi, C., Vagdevi, J. D., & Teja, D. S. (2022) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2022.44350
Commentary: Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China
Cheshmehzangi, A., Zou, T., Chen, W., Chen, H., & Su, Z. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.913189
Blockchain Implementations and Use Cases for Inhibiting COVID-19 Pandemic
Azim, A., & Islam, M. N. (2022) · Algorithms for intelligent systems · doi:10.1007/978-981-19-0332-8_4
AI Techniques: Combating COVID-19 Pandemic
Kaur, A., & Kaur, P. (2022) · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · doi:10.1109/icacite53722.2022.9823580
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics
Rauniyar, A., Hagos, D. H., Jha, D., & Håkegård, J. E. (2022) · IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) · doi:10.1109/sam53842.2022.9827805
Wearable Internet of Things (IoT) Device Model Design Based on Low-Cost Healthcare Monitoring System for Current Covid-19 Disease
Álvarez-González, R., González-Campos, E. R., Quiroz-Hernández, N., & Sánchez-Gálvez, A. M. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-031-10467-1_1
Internet of Things (IoT) for Coronavirus (COVID-19) Pandemic: A Survey on Trailblazing Techniques
Selvadass, S., Paul, J. J., Mary, I. T. B., & Andrushia, A. D. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-2177-3_33
Advanced Cyber Security and Internet of Things for Digital Transformations of the Indian Healthcare Sector
Lamba, J., & Jain, E. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-6311-6.ch010
COVID-19 Test Report and Vaccine Certificate Verification Through Blockchain and E-Commerce
Banerjee, P., Bilgaiyan, S., & Tikmani, A. (2022) · Advances in electronic commerce (AEC) book series/Advances in electronic commerce series · doi:10.4018/978-1-6684-4969-1.ch009
Predicting Spread of Omicron Variant by Face Recognition Embedded with Distance Measure Sensor Using Machine Learning Techniques
Sultana, H., & Shivani, S. (2022) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2022.41772
AN ADVANCED DEEP LEARNING FACIAL MASK DETECTION APPROACH FOR CONTROLLING COVID-19
(2022) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets21731
Supply Chain Management: Moderating Affect of COVID-19 on the Relationship of Logistics Performance and Supply Chain Resilience
Saeed, I., & Arshad, K. (2021) · Journal of Applied Research and Multidisciplinary Studies · doi:10.32350/jarms.21.03
Blockchain-Based Fog Computing
Vangala, A., & Das, A. K. (2022) · Internet of things · doi:10.1007/978-3-031-08254-2_3
Digital Media and the COVID-19 Urban Crisis
Tarachucky, L., Simão, R. S., & Baldessar, M. J. (2022) · Advances in hospitality, tourism and the services industry (AHTSI) book series · doi:10.4018/978-1-6684-3369-0.ch006
Covid-19 Diagnosis Using Deep Learning Techniques
Karthikeyan, A., Nagarjuna, S., Hemachandran, G., & K, K. V. R. (2022) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2022.46871
IoTFEC-19: Internet of Things-based Framework for Early Detection of COVID-19 Suspected Cases
Mir, M. H., Jamwal, S., Islam, S., & Khan, Q. R. (2022) · Advances in intelligent systems and computing · doi:10.1007/978-981-19-4676-9_19
RESEARCH ON SHIP SURVIVAL PREDICTION: AN INITIATIVE MODEL FOR ALL IN THE SHIP DURING COVID PANDEMIC CRISIS
Chatterjee, S., & Kesharwani, Y. (2022) · Indian Journal Of Applied Research · doi:10.36106/ijar/1211275
Change and Periodic Events: Relevance to the Pandemic
Phatnani, K. S., & Patil, H. A. (2022) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-91096-9_8
Updates in Management of SARS-CoV-2 Infection
Flisiak, R. (2022) · MDPI eBooks · doi:10.3390/books978-3-0365-5390-0
A Framework of a User Interface Covid-19 Diagnosis Model
Sumanth, M., & Mehrotra, S. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-981-19-3575-6_32
Blockchain Technology and Healthcare
Malik, R., & Trivedi, S. (2022) · Wiley eBooks · doi:10.1002/9781119865247.ch3
Kolaboratif Robotların Covid-19 Pandemi Sürecinde Gelişen ve Artan Rolleri Üzerine Bir Araştırma
Yünlü, L., KÜÇÜK, M. C., & Oral, O. (2022) · Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.29048/makufebed.1161083
The world is now experiencing a pneumonia outbreak caused by a novel coronavirus. The huge volume of medical literature on coronavirus has useful information that may assist medical research communities in addressing specific challenges. Health care professionals may improve their policies by quickly reviewing and getting specific data regarding coronavirus from various published research and the larger struggle against infectious disease. It has developed a technique for extracting actionable knowledge that automatically gathers pertinent data from sections and paragraphs related to a particular topic. There are continuous efforts to construct intelligent systems capable of automatically extracting useful information from many unstructured texts. In this paper, the comparison between many papers based on IoT and the knowledge base for solving the problem of Covid-19 has been conducted.
Abdulqadir, H. R., & Mahmood, M. R. (2022) · Academic Journal of Nawroz University · doi:10.25007/ajnu.v11n4a1385
Effects of COVID-19 pandemic on computational intelligence and cybersecurity: Survey
Mkaouer, M. W., Gaber, T., & Dagdia, A. Z. C. (2022) · Applied Computing and Intelligence · doi:10.3934/aci.2022010
Health Impact Assessment of Air Pollution in India During COVID-19 Lockdown by Using Satellite Remote Sensing and Deep Learning
Chaturvedi, S. K. (2022) · Nature Environment and Pollution Technology · doi:10.46488/nept.2022.v21i04.032
Mitigating the Impact of COVID-19 in Tehran via Technologies in Smart Cities
Fartash, K., Irani, P. N., & Sadabadi, A. A. (2022) · International Handbook of Disaster Research · doi:10.1007/978-981-16-8800-3_71-1
Face Mask Detection Alert System Using CNN
Kagwade, A., Kamathe, R. S., & Hanchate, V. (2022) · Cognitive science and technology · doi:10.1007/978-981-19-2350-0_45
Introspecting diverse IoT-traffic analysis methods in Smart Environments and Prospects
Snehi, M., & Bhandari, A. (2022) · International Conference on Data Science and Information System (ICDSIS) · doi:10.1109/icdsis55133.2022.9915825
Shifts in Digital Technologies’ Implementation During the COVID-19 Pandemic: The Case of Russia
Григорьевна, П. С., Vishnevskiy, K. О., & Андреевич, Щ. Р. (2022) · Science, technology and innovation studies · doi:10.1007/978-3-031-13142-4_9
Analysis of worldwide real-time recovery and death ratio of COVID-19 pandemic
Kumar, R., Gupta, M., Singh, C., & Malhotra, M. (2022) · AIP conference proceedings · doi:10.1063/5.0108865
COVID-19 Lung CT Images Recognition with Superscalar Winograd Circuit Based on VGG19
Wang, S.-H., Hsieh, P.-C., Su, T.-Y., Gao, J.-Y., Lu, M., & Fan, Y. (2022) · 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA) · doi:10.1109/iet-iceta56553.2022.9971486
Activity Based Remote Health Monitoring System
Murugesh, S., Chandrasekar, J. B., Buyya, S., & Umamaheswaran, S. G. (2022) · IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA) · doi:10.1109/icccmla56841.2022.9989149
Using geospatial technologies to manage COVID-19
Ennouri, K., Smaoui, S., Braïek, O. B., & Triki, M. A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90569-5.00014-7
Applications of digital and smart technologies to control SARS-CoV-2 transmission, rapid diagnosis, and monitoring
Ferreira, D. D., Santos, L. O., Alvarenga, T. A., Rodríguez, D. Z., Barbosa, B. H. G., Ferreira, A. C. B. H., Alves, D. F. D. S., Carmona, E. V., Duran, É. C. M., & Lopes, M. H. B. D. M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91794-0.00018-4
CoVANET: A VANET application for detecting and tracking COVID-19 cases in real-time
Ahmed, M. K. (2023) · AIP conference proceedings · doi:10.1063/5.0119133
IoT-Based Smart Classroom Environment
Dammur, A., Naik, B., Visvanathan, A., Kumar, A. S., & Moghe, A. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-5936-3_37
Application of machine learning in the fight against the COVID-19 pandemic: A review
Čolaković, A., Avdagić-Golub, E., Begović, M., Memić, B., & Džubur, A. H. (2021) · AFMN Biomedicine · doi:10.5937/afmnai39-38354 · Cited by 1
COVID-19 Automatic Indoor Safety Control through Mask, Temperature and Distance Monitoring
Nehal, M. A. H., Fuad, M. T., Jim, A. B. S., Islam, T., Malik, A., & Azad, A. K. M. A. M. (2022) · International Conference on Robotics and Automation Engineering (ICRAE) · doi:10.1109/icrae56463.2022.10056201
Application of Block Chain Technology in Distributed Power Transaction and Data Governance
Long, Y., Li, X., Wei, W., Long, N., Gan, R., & Ye, Z. (2023) · International Conference on Economic Management and Model Engineering (ICEMME) · doi:10.4108/eai.18-11-2022.2327187
An agent-based model for COVID-19 and its interventions and impact in different social phenomena
Siller, M., Palomo-Briones, G. A., Durán-Polanco, L., & Aleman, F. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-95064-0.00009-9
CoviBand - Wearable Social Distancing and Contact Tracing Device Using Signal Strength Indicator Metrics
Gohain, S., Santhi, K., Pandya, A., Masilamani, A., & Chellatamilan, T. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-28180-8_26
Problems and response actions of the food supply chain against Covid-19: a SRL
Bartolomé, S. A. C. S., Gonzales, A., & Gutierrez, J. A. T. (2023) · International Conference on Industrial Engineering and Operations Management (IEOM) · doi:10.46254/au01.20220630
Environmental Data Control in Smart Buildings: Big Data Analysis and Existing IoT Technological Systems
Galán‐Madruga, D. (2023) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-031-26685-0_1
Restoration and Enhancement of COVID-19 Variants Using CT Images
Ranjani, R., & Priya, R. L. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-19-5191-6_39
Survey of road distress during the COVID-19 pandemic using unmanned aerial vehicles (UAVs)
Utami, R., Astor, Y., Gustaman, F. A., Firdaus, M. R., Rahman, F. A., & Winata, S. N. (2023) · AIP conference proceedings · doi:10.1063/5.0112707
Blockchain-Based Higher Educational Data Management: Enhanced Architecture for Data Security
Divya, S., & Suganeshwari, G. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-29860-8_39
Development of a Decentralized Web App (D-App) for Covid-19 using AI
Nair, D., Kurakula, B. T., Harish, A., & Latha (2022) · IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) · doi:10.1109/iatmsi56455.2022.10119433
AUTONOMOUS ROBOTIC DELIVERY WITH ENHANCE SECURITY SYSTEM
(2023) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets39257
IoT based automated monitoring and sanitizing system for pandemic situations
Rajendran, S. K., Kandasamy, P., Kuppusamy, M. S., Subramaniam, P. V., Chandrasekar, V., & Murali, A. (2023) · AIP conference proceedings · doi:10.1063/5.0126399
Model-based Multidisciplinary Systems Design Optimization of a Novel Solar Multi-Purpose Drone Helicopter (SMPCOPTER)
Bataleblu, A. A., Abedini, A., & Hassanalian, M. (2023) · AIAA AVIATION Forum · doi:10.2514/6.2023-4450

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)
ORCID: Chamola, Vinay
Hassija, Vikas
Gupta, Vatsal
Guizani, Mohsen
Venue: IEEE Access
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2020
Volume: 8
Pages: 90225-90265
ISSN: 2169-3536 (ISSN-L)
DOI: 10.1109/access.2020.2992341
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
Licence: cc-by
creativecommons.org/licenses/by/4.0/legalcode (vor)
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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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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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