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Future Smart Connected Communities to Fight COVID-19 Outbreak
Deepti Gupta1, Smriti Bhatt2, Maanak Gupta3
1Department of Computer Science, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA.
Internet of Things (Amsterdam, Netherlands)
|April 15, 2024
Summary
The Internet of Things (IoT) and artificial intelligence (AI) can create smart, connected communities resilient to pandemics. These technologies enable intelligent monitoring and proactive prevention for public health crises.
Area of Science:
- Cyber-Physical Systems
- Public Health Technology
- Data Science Applications
Background:
- The COVID-19 pandemic highlighted limitations in current technological systems for disease containment.
- The Internet of Things (IoT) and Artificial Intelligence (AI) offer potential solutions for managing health crises.
Purpose of the Study:
- To envision an IoT and data-supported ecosystem for intelligent monitoring and control of epidemics like COVID-19.
- To propose synergistic applications across various smart infrastructures for 'pandemic-proof' communities.
Main Methods:
- Conceptualizing a cloud-enabled IoT framework using Amazon Web Services (AWS).
- Developing synergistic applications for E-Health, smart homes, supply chain, transportation, and smart cities.
- Implementing an E-Health Remote Patient Monitoring (RPM) use case.
Main Results:
- A proposed framework and application suite for building resilient smart communities.
- Demonstration of the practicality and necessity of connected health ecosystems.
- Identification of key challenges and research directions for pandemic preparedness.
Conclusions:
- IoT and AI are crucial for developing 'pandemic-proof' smart communities.
- A collaborative approach is needed to implement these technologies for future public health resilience.
- Further research and stakeholder cooperation are essential for effective epidemic management.
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