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

Published online by Cambridge University Press:  14 April 2025

Alaattin Parlakkılıç Open the ORCID record for Alaattin Parlakkılıç [Opens in a new window]
Alaattin Parlakkılıç*
Affiliation:
Management Information Systems, Faculty of Economics and Administrative Sciences, Ufuk University, Ankara, Turkey
*
Corresponding author: Alaattin Parlakkiliç; Email: [email protected]
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Abstract

Objective

The objective of this study is to develop a conceptual framework for use cases applicable to the development of an Internet of Things (IoT) system, designed for intelligent environments capable of managing the pandemic.

Methods

To achieve this objective, a comprehensive content analysis of scholarly articles from MDPI, PubMed, and Google Scholar was conducted. Best practices were identified, and various application examples were synthesized to establish an IoT-based framework.

Results

The study proposes measures for the implementation of technologically advanced environments and services while ensuring public compliance with these developments. Based on the identified use cases and enabled applications, a conceptual framework was formulated. The key use cases for IoT applications include traffic management, patient health monitoring, early virus detection, remote work facilitation, smart hygiene solutions, tracking infected individuals, monitoring social distancing, enhancing health care facilities, and ensuring quarantine compliance. To ensure rapid and effective implementation of policies, regulations, and government orders, robust architecture, applications, and technological infrastructures must be developed.

Conclusions

This study explores new architectural frameworks, potential use cases, and avenues for future advancements in IoT-based applications. The use cases are categorized as near-field measures, hybrid measures, centralized control mechanisms, and their integration in the defense against COVID-19.

Keywords

pandemicsocial distancingInternet of Thingssecuritysmart
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 19 , 2025 , e90
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc

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