Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution in all domains, including the healthcare sector. As a result of COVID-19 pandemic outbreak, there is a significant need for medic...

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Bibliographic Details
Published in:Computational intelligence and neuroscience 2022, Vol.2022, p.7786441-14
Main Authors: Sahal, Radhya, Alsamhi, Saeed H., Brown, Kenneth N., O’Shea, Donna, Alouffi, Bader
Format: Article
Language:English
Subjects:
Artificial Intelligence
Blockchain
Collaboration
Coronaviruses
COVID-19
Cryptography
Cyber-physical systems
Data acquisition
Data exchange
Decision making
Digital twins
Epidemics
Humans
Internet of Things
New technology
Outbreaks
Pandemics
SARS-CoV-2
Viral diseases
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Summary:Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution in all domains, including the healthcare sector. As a result of COVID-19 pandemic outbreak, there is a significant need for medical cyber-physical systems to adopt these emerging technologies to combat COVID-19 paramedic crisis. Also, acquiring secure real-time data exchange and analysis across multiple participants is essential to support the efforts against COVID-19. Therefore, we have introduced a blockchain-based collaborative digital twins framework for decentralized epidemic alerting to combat COVID-19 and any future pandemics. The framework has been proposed to bring together the existing advanced technologies (i.e., blockchain, digital twins, and AI) and then provide a solution to decentralize epidemic alerting to combat COVID-19 outbreaks. Also, we have described how the conceptual framework can be applied in the decentralized COVID-19 pandemic alerting use case.
ISSN:1687-5265
1687-5273
DOI:10.1155/2022/7786441