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An internet of things assisted drone based approach to reduce rapid spread of COVID-19
With the quick spread of pandemic disease, many individuals have lost their lives across different parts of the world. So, the need for a novel approach or model to overcome the problem becomes a necessity. In this paper, a mechanism is proposed called DBCMS (Drone Based Covid-19 Medical Service) fo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331559/ http://dx.doi.org/10.1016/j.jnlssr.2020.06.011 |
_version_ | 1783553353907699712 |
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author | Angurala, Mohit Bala, Manju Bamber, Sukhvinder Singh Kaur, Rajbir Singh, Prabhdeep |
author_facet | Angurala, Mohit Bala, Manju Bamber, Sukhvinder Singh Kaur, Rajbir Singh, Prabhdeep |
author_sort | Angurala, Mohit |
collection | PubMed |
description | With the quick spread of pandemic disease, many individuals have lost their lives across different parts of the world. So, the need for a novel approach or model to overcome the problem becomes a necessity. In this paper, a mechanism is proposed called DBCMS (Drone Based Covid-19 Medical Service) for the safety of medical employees who are prone to Covid-19 infection. The proposed mechanism can effectively improve the treatment process of Covid-19 patients. Drones are nowadays commonly used in the field of medical emergency situations. The proposed model in this paper uses drone service to reduce the risk of infection to the doctors or other medical staff, thereby preventing the disease spread. This paper further assumes that the primary step is to isolate people at their home instead of admitting them to the hospitals, also called a situation of lockdown or curfew. Thus, in this way, the spread can be significantly reduced across the globe if DBCMS approach is implemented at cluster level. |
format | Online Article Text |
id | pubmed-7331559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73315592020-07-06 An internet of things assisted drone based approach to reduce rapid spread of COVID-19 Angurala, Mohit Bala, Manju Bamber, Sukhvinder Singh Kaur, Rajbir Singh, Prabhdeep Journal of Safety Science and Resilience Article With the quick spread of pandemic disease, many individuals have lost their lives across different parts of the world. So, the need for a novel approach or model to overcome the problem becomes a necessity. In this paper, a mechanism is proposed called DBCMS (Drone Based Covid-19 Medical Service) for the safety of medical employees who are prone to Covid-19 infection. The proposed mechanism can effectively improve the treatment process of Covid-19 patients. Drones are nowadays commonly used in the field of medical emergency situations. The proposed model in this paper uses drone service to reduce the risk of infection to the doctors or other medical staff, thereby preventing the disease spread. This paper further assumes that the primary step is to isolate people at their home instead of admitting them to the hospitals, also called a situation of lockdown or curfew. Thus, in this way, the spread can be significantly reduced across the globe if DBCMS approach is implemented at cluster level. China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2020-09 2020-07-02 /pmc/articles/PMC7331559/ http://dx.doi.org/10.1016/j.jnlssr.2020.06.011 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Angurala, Mohit Bala, Manju Bamber, Sukhvinder Singh Kaur, Rajbir Singh, Prabhdeep An internet of things assisted drone based approach to reduce rapid spread of COVID-19 |
title | An internet of things assisted drone based approach to reduce rapid spread of COVID-19 |
title_full | An internet of things assisted drone based approach to reduce rapid spread of COVID-19 |
title_fullStr | An internet of things assisted drone based approach to reduce rapid spread of COVID-19 |
title_full_unstemmed | An internet of things assisted drone based approach to reduce rapid spread of COVID-19 |
title_short | An internet of things assisted drone based approach to reduce rapid spread of COVID-19 |
title_sort | internet of things assisted drone based approach to reduce rapid spread of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331559/ http://dx.doi.org/10.1016/j.jnlssr.2020.06.011 |
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