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A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies
In order to track patients in coronavirus (COVID-19) like pandemic, this paper proposes a novel model based on hybrid advance technologies, which is capable to trace and track COVID-19 affectees with high accuracy. The hybrid technologies include, cellular, cyber and low range wireless technologies....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160079/ http://dx.doi.org/10.1007/s00607-021-00946-6 |
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author | Nisar, Shibli Zuhaib, Muhammad Ali Ulasyar, Abasin Tariq, Muhammad |
author_facet | Nisar, Shibli Zuhaib, Muhammad Ali Ulasyar, Abasin Tariq, Muhammad |
author_sort | Nisar, Shibli |
collection | PubMed |
description | In order to track patients in coronavirus (COVID-19) like pandemic, this paper proposes a novel model based on hybrid advance technologies, which is capable to trace and track COVID-19 affectees with high accuracy. The hybrid technologies include, cellular, cyber and low range wireless technologies. This technique is capable to trace patients through call data record using cellular technology, voice over Internet protocol calls using cyber technology and physical contact without having a call history using low range wireless technologies. The proposed model is also capable to trace COVID-19 suspects. In addition to tracking, the proposed model is capable to provide surveillance capability as well by geo tagging the patients. In case of any violation by the patients an alert is sent to the concerned department. The proposed model is cost effective and privacy preserved as the entire process is carried out under the umbrella of a concerned government department. The potential outcomes of the proposed model are tracking of COVID-19 patients, monitoring of isolated patients, tracking of suspected ones and inform the mass about the safest path to use. |
format | Online Article Text |
id | pubmed-8160079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-81600792021-05-28 A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies Nisar, Shibli Zuhaib, Muhammad Ali Ulasyar, Abasin Tariq, Muhammad Computing Special Issue Article In order to track patients in coronavirus (COVID-19) like pandemic, this paper proposes a novel model based on hybrid advance technologies, which is capable to trace and track COVID-19 affectees with high accuracy. The hybrid technologies include, cellular, cyber and low range wireless technologies. This technique is capable to trace patients through call data record using cellular technology, voice over Internet protocol calls using cyber technology and physical contact without having a call history using low range wireless technologies. The proposed model is also capable to trace COVID-19 suspects. In addition to tracking, the proposed model is capable to provide surveillance capability as well by geo tagging the patients. In case of any violation by the patients an alert is sent to the concerned department. The proposed model is cost effective and privacy preserved as the entire process is carried out under the umbrella of a concerned government department. The potential outcomes of the proposed model are tracking of COVID-19 patients, monitoring of isolated patients, tracking of suspected ones and inform the mass about the safest path to use. Springer Vienna 2021-05-28 2023 /pmc/articles/PMC8160079/ http://dx.doi.org/10.1007/s00607-021-00946-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021 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 | Special Issue Article Nisar, Shibli Zuhaib, Muhammad Ali Ulasyar, Abasin Tariq, Muhammad A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies |
title | A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies |
title_full | A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies |
title_fullStr | A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies |
title_full_unstemmed | A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies |
title_short | A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies |
title_sort | robust tracking system for covid-19 like pandemic using advanced hybrid technologies |
topic | Special Issue Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160079/ http://dx.doi.org/10.1007/s00607-021-00946-6 |
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