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An Enhanced IoT Based Tracing and Tracking Model for COVID -19 Cases.
1Melmaruvathur Adhiparasakthi Institute of Medical Sciences and Research, Melmaruvathur, Chengalpattu District, Tamil Nadu 603319 India.
SN Computer Science
|January 25, 2021
Summary
This study introduces an automated Internet of Things (IoT) system for COVID-19 contact tracing. The system uses RFID tags and mobile devices to enable efficient tracking and quarantine of contacts.
Area of Science:
- Public Health
- Epidemiology
- Technology in Healthcare
Background:
- COVID-19 pandemic necessitates robust contact tracing to curb social transmission.
- Manual tracing methods are overwhelmed by the high volume of daily cases.
- Effective tracing and tracking are crucial for pandemic management.
Purpose of the Study:
- To propose an automated Internet of Things (IoT) based system for COVID-19 contact tracing.
- To enhance the efficiency and accuracy of identifying potential contacts.
- To support quarantine and monitoring efforts by administrative agencies.
Main Methods:
- Deployment of cost-effective Radio-Frequency Identification (RFID) tags.
- Utilizing individuals' mobile phones as RFID readers for automated tracking.
- Developing an IoT framework for real-time data acquisition and analysis.
Main Results:
- Enables tracing of individuals who have come into contact with suspected cases, even unknowingly.
- Facilitates 100% quarantine of primary and secondary contacts.
- Provides administrative agencies with enhanced monitoring capabilities.
Conclusions:
- The proposed IoT system offers an effective solution for automated COVID-19 contact tracing.
- This technology can significantly augment a nation's pandemic management capabilities.
- Automated tracing improves quarantine compliance and disease control.
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