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A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing-Part I: Fundamentals and Enabling
Cong T Nguyen1,2, Yuris Mulya Saputra3,4, Nguyen Van Huynh3
1Department of Computer Science and EngineeringHo Chi Minh City University of Technology Ho Chi MInh City 700000 Vietnam.
Emerging technologies like wireless networking and artificial intelligence (AI) can support social distancing to prevent viral disease spread. This paper explores wireless tech for monitoring, prediction, and tracing to enforce public health measures.
Area of Science:
- Public Health
- Computer Science
- Electrical Engineering
Background:
- Social distancing is crucial for mitigating viral disease transmission, like COVID-19.
- Minimizing physical contact reduces virus transmission within communities.
- Emerging technologies offer novel solutions for implementing and enforcing social distancing.
Purpose of the Study:
- To survey how wireless and networking technologies can enable, encourage, and enforce social distancing.
- To provide background on social distancing concepts, measurements, and models.
- To discuss practical social distancing scenarios and enabling wireless technologies.
Main Methods:
- Reviewing social distancing concepts, measurements, and models.
- Proposing practical social distancing scenarios.
- Discussing wireless technologies for symptom prediction, quarantine monitoring, and contact tracing.
Main Results:
- Wireless technologies are effective in supporting social distancing measures.
- Key applications include predicting symptoms, monitoring quarantined individuals, and enabling contact tracing.
- This Part I focuses on the foundational aspects and wireless technology enablers.
Conclusions:
- Wireless and networking technologies are vital for effective social distancing.
- These technologies can enhance public health strategies against viral outbreaks.
- Further exploration in Part II covers AI, computer vision, and implementation challenges.
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