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CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19
The factors affecting the penetration of certain diseases such as COVID-19 in society are still unknown. Internet of Things (IoT) technologies can play a crucial role during the time of crisis and they can provide a more holistic view of the reasons that govern the outbreak of a contagious disease....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827168/ https://www.ncbi.nlm.nih.gov/pubmed/33445499 http://dx.doi.org/10.3390/s21020484 |
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author | Ramallo-González, Alfonso P. González-Vidal, Aurora Skarmeta, Antonio F. |
author_facet | Ramallo-González, Alfonso P. González-Vidal, Aurora Skarmeta, Antonio F. |
author_sort | Ramallo-González, Alfonso P. |
collection | PubMed |
description | The factors affecting the penetration of certain diseases such as COVID-19 in society are still unknown. Internet of Things (IoT) technologies can play a crucial role during the time of crisis and they can provide a more holistic view of the reasons that govern the outbreak of a contagious disease. The understanding of COVID-19 will be enriched by the analysis of data related to the phenomena, and this data can be collected using IoT sensors. In this paper, we show an integrated solution based on IoT technologies that can serve as opportunistic health data acquisition agents for combating the pandemic of COVID-19, named CIoTVID. The platform is composed of four layers—data acquisition, data aggregation, machine intelligence and services, within the solution. To demonstrate its validity, the solution has been tested with a use case based on creating a classifier of medical conditions using real data of voice, performing successfully. The layer of data aggregation is particularly relevant in this kind of solution as the data coming from medical devices has a very different nature to that coming from electronic sensors. Due to the adaptability of the platform to heterogeneous data and volumes of data; individuals, policymakers, and clinics could benefit from it to fight the propagation of the pandemic. |
format | Online Article Text |
id | pubmed-7827168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78271682021-01-25 CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19 Ramallo-González, Alfonso P. González-Vidal, Aurora Skarmeta, Antonio F. Sensors (Basel) Technical Note The factors affecting the penetration of certain diseases such as COVID-19 in society are still unknown. Internet of Things (IoT) technologies can play a crucial role during the time of crisis and they can provide a more holistic view of the reasons that govern the outbreak of a contagious disease. The understanding of COVID-19 will be enriched by the analysis of data related to the phenomena, and this data can be collected using IoT sensors. In this paper, we show an integrated solution based on IoT technologies that can serve as opportunistic health data acquisition agents for combating the pandemic of COVID-19, named CIoTVID. The platform is composed of four layers—data acquisition, data aggregation, machine intelligence and services, within the solution. To demonstrate its validity, the solution has been tested with a use case based on creating a classifier of medical conditions using real data of voice, performing successfully. The layer of data aggregation is particularly relevant in this kind of solution as the data coming from medical devices has a very different nature to that coming from electronic sensors. Due to the adaptability of the platform to heterogeneous data and volumes of data; individuals, policymakers, and clinics could benefit from it to fight the propagation of the pandemic. MDPI 2021-01-12 /pmc/articles/PMC7827168/ /pubmed/33445499 http://dx.doi.org/10.3390/s21020484 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technical Note Ramallo-González, Alfonso P. González-Vidal, Aurora Skarmeta, Antonio F. CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19 |
title | CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19 |
title_full | CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19 |
title_fullStr | CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19 |
title_full_unstemmed | CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19 |
title_short | CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19 |
title_sort | ciotvid: towards an open iot-platform for infective pandemic diseases such as covid-19 |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827168/ https://www.ncbi.nlm.nih.gov/pubmed/33445499 http://dx.doi.org/10.3390/s21020484 |
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