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Industry 4.0 technologies and their applications in fighting COVID-19 pandemic
Open accessAbstract
Background and aims COVID 19 (Coronavirus) pandemic has created surge demand for essential healthcare equipment, medicines along with the requirement for advance information technologies applications. Industry 4.0 is known as the fourth industrial revolution, which has the potential to fulfil customised requirement during COVID-19 crisis. This revolution has started with the applications of advance manufacturing and digital information technologies.Methods A detailed review of the literature is done on the technologies of Industry 4.0 and their applications in the COVID-19 pandemic, using appropriate search words on the databases of PubMed, SCOPUS, Google Scholar and Research Gate.Results We found several useful technologies of Industry 4.0 which help for proper control and management of COVID-19 pandemic and these have been discussed in this paper. The available technologies of Industry 4.0 could also help the detection and diagnosis of COVID-19 and other related problems and symptoms.Conclusions Industry 4.0 can fulfil the requirements of customised face masks, gloves, and collect information for healthcare systems for proper controlling and treating of COVID-19 patients. We have discussed ten major technologies of Industry 4.0 which help to solve the problems of this virus. It is useful to provide day to day update of an infected patient, area-wise, age-wise and state-wise with proper surveillance systems. We also believe that the proper implementation of these technologies would help to enhance education and communication regarding public health. These Industry 4.0 technologies could provide a lot of innovative ideas and solution for fighting local and global medical emergencies.
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“Chinese railway authorities use AI to track the customers’ movement and identify people who were near a passenger infected with COVID-19 [101].”
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“Almost every industry utilizes the benefits of this information system, including the agricultural, banking, defense, and security industries, as well as the government and education sectors [1], [2].”
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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
Mahmutćehajić, F., Silajdžić, V., & Berković, A. (2022) · Pregled: časopis za društvena pitanja / Periodical for social issues · doi:10.48052/19865244.2022.2.97
Does Covid-19 Accelerate the Cybernetic Revolution and Transition from E-Government to E-State?
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IoT based sensor operated automatic potion (SOAP) dispenser
Garimella, R. C., Madeti, S. R. K., Neetoori, R., Gandreti, P., & Kumar, K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-95876-9.00001-x
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Hod, R., Adam, S. K., & Idris, F. (2022) · Malaysian Journal of Medicine and Health Sciences · doi:10.47836/mjmhs.18.s21.8
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Iman, L. N. (2023) · Jurnal Syntax Admiration · doi:10.46799/jsa.v4i4.584
Majir, A. (2023) · International Conference on Education, Humanities, Health and Agriculture (ICEHHA) · doi:10.4108/eai.21-10-2022.2329577
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Lytvyn, O. (2023) · Izdevniecība “Baltija Publishing” eBooks · doi:10.30525/978-9934-26-297-5-33 · Cited by 1
A Cost-Effective Tracking and Health Monitoring System for Suspected COVID-19 Patient in Quarantine
Jana, J., Tripathi, S., Bhattacharya, A., Chowdhury, R. S., Ranjan, D., & Bhaumik, J. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-0412-9_51
Metadata
- Authors
- Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A.
- Affiliations
- Jamia Millia Islamia (IN)
- Indraprastha Apollo Hospitals (IN)
- Punjab Technical University (IN)
- Govind Ballabh Pant University of Agriculture and Technology (IN)
- Corresponding author
- Bahl, Shashi
- Venue
- Diabetes & Metabolic Syndrome: Clinical Research & Reviews
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 14
- Issue
- 4
- Pages
- 419-422
- ISSN
- 1871-4021 (ISSN-L)
- PMC
- PMC7180383
- OpenAlex
- W3017623177
- Cited by
- 758
- References
- 27
- Citations by year
- 2026: 15 · 2025: 39 · 2024: 72 · 2023: 124 · 2022: 171 · 2021: 227 · 2020: 109
- FWCI
- 148.47
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Industry 4.0, COVID-19 pandemic, health technology, digital information technology, advanced manufacturing, COVID-19 diagnosis, surveillance systems, public health communication, medical emergencies
- MeSH terms
- Information Technology, Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, COVID-19 Drug Treatment, Biotechnology, Delivery of Health Care, Patient Care, Humans, Patient Education as Topic, Pneumonia, Viral, Public Health, Infection Control, Telemedicine, Coronavirus Infections, Clinical Laboratory Techniques, Pandemics
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