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iQMS: IoT-based QMS framework for tracking of quarantined subjects
The outbreak of Coronavirus Disease as a pandemic has resulted in a huge saddle on health infrastructure. Preventive measures such as quarantine, social distancing, isolation, and community containment play a pivotal role to contain the spread of exponentially growing COVID cases. This huge burden p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247961/ https://www.ncbi.nlm.nih.gov/pubmed/35791433 http://dx.doi.org/10.1007/s41870-022-00968-z |
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author | Hasan, Iqbal Rizvi, S. A. M. |
author_facet | Hasan, Iqbal Rizvi, S. A. M. |
author_sort | Hasan, Iqbal |
collection | PubMed |
description | The outbreak of Coronavirus Disease as a pandemic has resulted in a huge saddle on health infrastructure. Preventive measures such as quarantine, social distancing, isolation, and community containment play a pivotal role to contain the spread of exponentially growing COVID cases. This huge burden permitted authorities for institutional/home quarantine for the suspected persons. The biggest challenge for institutional/home quarantine is to monitor and track the movement of quarantined persons. These suspected cases pose a serious threat in outbreak and transmission of the disease. In this paper, an intelligent-Quarantine Monitoring System (iQMS) has been presented which comprises of a wearable IoT-based wristband, bundled with an android mobile app to track and report the absconding quarantined subjects in near real-time. The iQMS incorporates a cloud-based solution with IoT sensors using a global positioning system (GPS) based tracker for geo-fencing breach. The proposed system will facilitate the authorities in remote monitoring and tracking of identified subjects. |
format | Online Article Text |
id | pubmed-9247961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-92479612022-07-01 iQMS: IoT-based QMS framework for tracking of quarantined subjects Hasan, Iqbal Rizvi, S. A. M. Int J Inf Technol Original Research The outbreak of Coronavirus Disease as a pandemic has resulted in a huge saddle on health infrastructure. Preventive measures such as quarantine, social distancing, isolation, and community containment play a pivotal role to contain the spread of exponentially growing COVID cases. This huge burden permitted authorities for institutional/home quarantine for the suspected persons. The biggest challenge for institutional/home quarantine is to monitor and track the movement of quarantined persons. These suspected cases pose a serious threat in outbreak and transmission of the disease. In this paper, an intelligent-Quarantine Monitoring System (iQMS) has been presented which comprises of a wearable IoT-based wristband, bundled with an android mobile app to track and report the absconding quarantined subjects in near real-time. The iQMS incorporates a cloud-based solution with IoT sensors using a global positioning system (GPS) based tracker for geo-fencing breach. The proposed system will facilitate the authorities in remote monitoring and tracking of identified subjects. Springer Nature Singapore 2022-07-01 2022 /pmc/articles/PMC9247961/ /pubmed/35791433 http://dx.doi.org/10.1007/s41870-022-00968-z Text en © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Hasan, Iqbal Rizvi, S. A. M. iQMS: IoT-based QMS framework for tracking of quarantined subjects |
title | iQMS: IoT-based QMS framework for tracking of quarantined subjects |
title_full | iQMS: IoT-based QMS framework for tracking of quarantined subjects |
title_fullStr | iQMS: IoT-based QMS framework for tracking of quarantined subjects |
title_full_unstemmed | iQMS: IoT-based QMS framework for tracking of quarantined subjects |
title_short | iQMS: IoT-based QMS framework for tracking of quarantined subjects |
title_sort | iqms: iot-based qms framework for tracking of quarantined subjects |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247961/ https://www.ncbi.nlm.nih.gov/pubmed/35791433 http://dx.doi.org/10.1007/s41870-022-00968-z |
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