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

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Area of Science:

  • Healthcare Informatics
  • Cyber-Physical Systems
  • Epidemiology

Background:

  • The COVID-19 pandemic highlighted the need for advanced technologies in healthcare.
  • Medical cyber-physical systems require secure, real-time data exchange to combat health crises.
  • Emerging technologies like AI, IoT, and blockchain are crucial for industrial and healthcare advancements.

Purpose of the Study:

  • To propose a novel blockchain-based collaborative digital twins framework.
  • To decentralize epidemic alerting systems for combating COVID-19 and future pandemics.
  • To integrate advanced technologies for secure, real-time data exchange and analysis.

Main Methods:

  • Development of a conceptual framework integrating blockchain, digital twins, and Artificial Intelligence (AI).
  • Application of the framework to a decentralized COVID-19 pandemic alerting use case.
  • Focus on secure, real-time data exchange across multiple participants.

Main Results:

  • A decentralized framework for epidemic alerting using blockchain and digital twins.
  • Demonstration of integrating AI, blockchain, and digital twins for pandemic response.
  • Potential for enhanced real-time data analysis and secure information sharing.

Conclusions:

  • The proposed framework offers a decentralized solution for epidemic alerting.
  • Integration of advanced technologies can significantly improve pandemic preparedness and response.
  • The framework provides a scalable model for future public health challenges.