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Design and Implementation of IoT-Based System for Tracking and Monitoring of Suspected COVID-19 Patient
2nd International Conference on Advances in VLSI and Embedded Systems, AVES 2021 ; 962:163-173, 2023.
Article in English | Scopus | ID: covidwho-2173937
ABSTRACT
Coronavirus is the most challenging threat today in our society. This virus has caused a huge number of deaths worldwide. Experts are still searching for an effective and long-term vaccine. In the present scenario, people are relying on wearing mask, self-quarantine, social-distancing and sanitizing hands for defending this infectious coronavirus. The health-care units, academicians, researchers and governments as well as business houses are trying their level best to prevent the spread of this disease. In this paper, design and implementation of an Internet of Things (IoT)-based smart and cost-effective system for tracking and monitoring of COVID-19 suspected patients have been introduced. Proposed system has significant social impact as it can be used to reduce the chances of community transmission of this deadly virus. Proposed reusable cost-effective system can help the hospital and local authority to monitor and track the movement of quarantined people. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Advances in VLSI and Embedded Systems, AVES 2021 Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Advances in VLSI and Embedded Systems, AVES 2021 Year: 2023 Document Type: Article