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Internet of Things Based Contact Tracing Systems.

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Internet of Things (IoT) technologies can enhance contact tracing (CT) systems for infectious diseases like COVID-19. A proposed IoT-based CT system (IoT-CTS) architecture offers a scalable framework using peer-to-peer and object-to-peer sensing.

Keywords:
COVID-19Internet of ThingsSARS-CoV-2contact tracingenvironment sensingobject to peerpeer to peerprivacyproximity sensingtransmission methods

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Area of Science:

  • Public Health
  • Computer Science
  • Epidemiology

Background:

  • The COVID-19 pandemic highlighted the need for effective infectious disease containment.
  • Current contact tracing (CT) methods are often fragmented and lack scalability.
  • Internet of Things (IoT) technologies offer potential solutions to these limitations.

Purpose of the Study:

  • To overview the principles, motivation, and architecture of a generic IoT-based CT system (IoT-CTS).
  • To propose a novel IoT-CTS architecture addressing peer-to-peer and object-to-peer contact events.
  • To explore applicable sensors and privacy-preserving techniques for enhanced CT.

Main Methods:

  • Literature review of existing CT solutions and IoT capabilities.
  • Development of a novel IoT-CTS architecture integrating sensing and privacy techniques.
  • Analysis of sensor applicability for COVID-19 transmission dynamics.

Main Results:

  • A proposed IoT-CTS architecture utilizing peer-to-peer and object-to-peer sensing.
  • Identification of relevant sensors for proximity and environmental monitoring.
  • Integration of privacy-preserving techniques within the IoT-CTS framework.

Conclusions:

  • The proposed IoT-CTS architecture provides a scalable and holistic framework for infectious disease containment.
  • Leveraging IoT sensors and privacy techniques can effectively reduce infectious cases.
  • Further research directions in IoT-based CT are identified.