Using Internet of Things to Deal with Pandemic: A Use Case Based Framework.

Area of Science:

• Computer Science
• Public Health
• Engineering

Background:

• The COVID-19 pandemic highlighted the need for advanced technological solutions in public health management.
• Intelligent environments and the Internet of Things (IoT) offer potential for innovative pandemic response strategies.

Purpose of the Study:

• To develop a conceptual framework for Internet of Things (IoT) use cases in intelligent environments for pandemic management.
• To identify and synthesize best practices and applications for an IoT-based pandemic management system.

Main Methods:

• A comprehensive content analysis of scholarly articles from MDPI, PubMed, and Google Scholar was performed.
• Identification of best practices and synthesis of various application examples were conducted to establish the framework.

Main Results:

• The study proposes measures for implementing technologically advanced environments and services, ensuring public compliance.
• Key IoT use cases identified include traffic management, patient health monitoring, virus detection, remote work, smart hygiene, tracking, social distancing, healthcare enhancement, and quarantine compliance.
• A conceptual framework was formulated based on identified use cases and enabled applications.

Conclusions:

• The research explores new architectural frameworks and potential use cases for IoT applications in pandemic defense.
• Use cases are categorized into near-field measures, hybrid measures, and centralized control mechanisms for COVID-19 mitigation.