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COVID-19: Challenges and its Technological Solutions using IoT.

Farhana Ajaz1, Mohd Naseem1, Sparsh Sharma1

  • 1Department of Computer Sciences, Baba Ghulam Shah Badshah University, Rajouri, India.

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Summary
This summary is machine-generated.

This study explores using Internet of Things (IoT) technology and machine learning to combat the COVID-19 pandemic. These innovations offer effective strategies for contact tracing and diagnosis, improving public health outcomes.

Keywords:
ArchitectureCOVID-19COVID-19 solutionsIoTUAVcontact tracingtechnological challenges of COVID-19.

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Area of Science:

  • Computer Science
  • Public Health
  • Information Technology

Background:

  • The COVID-19 pandemic poses a significant global health threat.
  • Effective strategies are needed to control the spread and impact of the virus.
  • Current challenges include diagnosis, contact tracing, and patient management.

Purpose of the Study:

  • To investigate the application of Internet of Things (IoT) technology in managing the COVID-19 pandemic.
  • To propose a framework for IoT-based solutions in healthcare during the pandemic.
  • To explore the role of machine learning and unmanned aerial vehicles (UAVs) in COVID-19 control.

Main Methods:

  • Discussion of challenges faced by individuals and healthcare professionals.
  • Proposal of a six-layer architecture for IoT solutions.
  • Explanation of machine learning for COVID-19 diagnosis.
  • Specification of UAV applications for contact tracing.

Main Results:

  • IoT solutions can be effectively utilized to restrict the impact of COVID-19.
  • The proposed architecture provides a framework for implementing IoT in pandemic response.
  • Machine learning aids in accurate and timely diagnosis.
  • UAVs offer a novel approach to contact tracing.

Conclusions:

  • IoT technology presents a versatile tool for mitigating the effects of COVID-19.
  • Integrating IoT in healthcare enhances patient safety and well-being at reduced costs.
  • Technological advancements are crucial for future pandemic preparedness.