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Toward Smart Diagnostics in a Pandemic Scenario: COVID-19
The incredible spread rate of coronavirus disease 2019 (COVID-19) outbreak has shocked the world. More than ever before, this dramatic scenario proved the significance of diagnostics as a cornerstone to make life-saving decisions. In this context, novel diagnostics that generates smart data leading...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247766/ https://www.ncbi.nlm.nih.gov/pubmed/34222208 http://dx.doi.org/10.3389/fbioe.2021.637203 |
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author | Hosseinifard, Mohammad Naghdi, Tina Morales-Narváez, Eden Golmohammadi, Hamed |
author_facet | Hosseinifard, Mohammad Naghdi, Tina Morales-Narváez, Eden Golmohammadi, Hamed |
author_sort | Hosseinifard, Mohammad |
collection | PubMed |
description | The incredible spread rate of coronavirus disease 2019 (COVID-19) outbreak has shocked the world. More than ever before, this dramatic scenario proved the significance of diagnostics as a cornerstone to make life-saving decisions. In this context, novel diagnostics that generates smart data leading to superior strategies for treatment, control, surveillance, prediction, prevention, and management of pandemic diseases is vital. Herein, we discuss the characteristics that should be met by COVID-19 diagnostics to become smart diagnostics enabled by industry 4.0 especially Internet of Things (IoT). The challenges ahead and our recommendations for moving faster from pure diagnostics toward smart diagnostics of COVID-19 and other possible epidemic/pandemic diseases are also outlined. An IoT-Fog-Cloud model based on smartphones as IoT gateways for smart diagnostics with unified strategies for data collection/transmission/interpretation is also proposed to integrate new digital technologies into a single platform for smarter decisions. Last but not least, we believe that “smart diagnostics” is a perspective that should be realized sooner before we encounter a pandemic far worse than the present one. |
format | Online Article Text |
id | pubmed-8247766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82477662021-07-02 Toward Smart Diagnostics in a Pandemic Scenario: COVID-19 Hosseinifard, Mohammad Naghdi, Tina Morales-Narváez, Eden Golmohammadi, Hamed Front Bioeng Biotechnol Bioengineering and Biotechnology The incredible spread rate of coronavirus disease 2019 (COVID-19) outbreak has shocked the world. More than ever before, this dramatic scenario proved the significance of diagnostics as a cornerstone to make life-saving decisions. In this context, novel diagnostics that generates smart data leading to superior strategies for treatment, control, surveillance, prediction, prevention, and management of pandemic diseases is vital. Herein, we discuss the characteristics that should be met by COVID-19 diagnostics to become smart diagnostics enabled by industry 4.0 especially Internet of Things (IoT). The challenges ahead and our recommendations for moving faster from pure diagnostics toward smart diagnostics of COVID-19 and other possible epidemic/pandemic diseases are also outlined. An IoT-Fog-Cloud model based on smartphones as IoT gateways for smart diagnostics with unified strategies for data collection/transmission/interpretation is also proposed to integrate new digital technologies into a single platform for smarter decisions. Last but not least, we believe that “smart diagnostics” is a perspective that should be realized sooner before we encounter a pandemic far worse than the present one. Frontiers Media S.A. 2021-06-17 /pmc/articles/PMC8247766/ /pubmed/34222208 http://dx.doi.org/10.3389/fbioe.2021.637203 Text en Copyright © 2021 Hosseinifard, Naghdi, Morales-Narváez and Golmohammadi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Hosseinifard, Mohammad Naghdi, Tina Morales-Narváez, Eden Golmohammadi, Hamed Toward Smart Diagnostics in a Pandemic Scenario: COVID-19 |
title | Toward Smart Diagnostics in a Pandemic Scenario: COVID-19 |
title_full | Toward Smart Diagnostics in a Pandemic Scenario: COVID-19 |
title_fullStr | Toward Smart Diagnostics in a Pandemic Scenario: COVID-19 |
title_full_unstemmed | Toward Smart Diagnostics in a Pandemic Scenario: COVID-19 |
title_short | Toward Smart Diagnostics in a Pandemic Scenario: COVID-19 |
title_sort | toward smart diagnostics in a pandemic scenario: covid-19 |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247766/ https://www.ncbi.nlm.nih.gov/pubmed/34222208 http://dx.doi.org/10.3389/fbioe.2021.637203 |
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