Staff View: Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science

Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science

In 2020 the world is facing unprecedented challenges due to COVID-19. To address these challenges, many digital tools are being explored and developed to contain the spread of the disease. With the lack of availability of vaccines, there is an urgent need to avert resurgence of infections by putting...

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Main Authors:	Jahmunah, Vicnesh, Sudarshan, Vidya K., Oh, Shu Lih, Gururajan, Raj, Gururajan, Rashmi, Zhou, Xujuan, Tao, Xiaohui, Faust, Oliver, Ciaccio, Edward J., Ng, Kwan Hoong, Acharya, U. Rajendra
Format:	Article
Published:	Wiley 2021
Subjects:	QC Physics TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography
Online Access:	http://eprints.um.edu.my/34432/
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spelling	my.um.eprints.344322022-06-09T07:18:14Z http://eprints.um.edu.my/34432/ Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science Jahmunah, Vicnesh Sudarshan, Vidya K. Oh, Shu Lih Gururajan, Raj Gururajan, Rashmi Zhou, Xujuan Tao, Xiaohui Faust, Oliver Ciaccio, Edward J. Ng, Kwan Hoong Acharya, U. Rajendra QC Physics TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography In 2020 the world is facing unprecedented challenges due to COVID-19. To address these challenges, many digital tools are being explored and developed to contain the spread of the disease. With the lack of availability of vaccines, there is an urgent need to avert resurgence of infections by putting some measures, such as contact tracing, in place. While digital tools, such as phone applications are advantageous, they also pose challenges and have limitations (eg, wireless coverage could be an issue in some cases). On the other hand, wearable devices, when coupled with the Internet of Things (IoT), are expected to influence lifestyle and healthcare directly, and they may be useful for health monitoring during the global pandemic and beyond. In this work, we conduct a literature review of contact tracing methods and applications. Based on the literature review, we found limitations in gathering health data, such as insufficient network coverage. To address these shortcomings, we propose a novel intelligent tool that will be useful for contact tracing and prediction of COVID-19 clusters. The solution comprises a phone application combined with a wearable device, infused with unique intelligent IoT features (complex data analysis and intelligent data visualization) embedded within the system to aid in COVID-19 analysis. Contact tracing applications must establish data collection and data interpretation. Intelligent data interpretation can assist epidemiological scientists in anticipating clusters, and can enable them to take necessary action in improving public health management. Our proposed tool could also be used to curb disease incidence in future global health crises. Wiley 2021-06 Article PeerReviewed Jahmunah, Vicnesh and Sudarshan, Vidya K. and Oh, Shu Lih and Gururajan, Raj and Gururajan, Rashmi and Zhou, Xujuan and Tao, Xiaohui and Faust, Oliver and Ciaccio, Edward J. and Ng, Kwan Hoong and Acharya, U. Rajendra (2021) Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science. International Journal of Imaging Systems and Technology, 31 (2). pp. 455-471. ISSN 0899-9457, DOI https://doi.org/10.1002/ima.22552 <https://doi.org/10.1002/ima.22552>. 10.1002/ima.22552
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QC Physics TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography
spellingShingle	QC Physics TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography Jahmunah, Vicnesh Sudarshan, Vidya K. Oh, Shu Lih Gururajan, Raj Gururajan, Rashmi Zhou, Xujuan Tao, Xiaohui Faust, Oliver Ciaccio, Edward J. Ng, Kwan Hoong Acharya, U. Rajendra Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
description	In 2020 the world is facing unprecedented challenges due to COVID-19. To address these challenges, many digital tools are being explored and developed to contain the spread of the disease. With the lack of availability of vaccines, there is an urgent need to avert resurgence of infections by putting some measures, such as contact tracing, in place. While digital tools, such as phone applications are advantageous, they also pose challenges and have limitations (eg, wireless coverage could be an issue in some cases). On the other hand, wearable devices, when coupled with the Internet of Things (IoT), are expected to influence lifestyle and healthcare directly, and they may be useful for health monitoring during the global pandemic and beyond. In this work, we conduct a literature review of contact tracing methods and applications. Based on the literature review, we found limitations in gathering health data, such as insufficient network coverage. To address these shortcomings, we propose a novel intelligent tool that will be useful for contact tracing and prediction of COVID-19 clusters. The solution comprises a phone application combined with a wearable device, infused with unique intelligent IoT features (complex data analysis and intelligent data visualization) embedded within the system to aid in COVID-19 analysis. Contact tracing applications must establish data collection and data interpretation. Intelligent data interpretation can assist epidemiological scientists in anticipating clusters, and can enable them to take necessary action in improving public health management. Our proposed tool could also be used to curb disease incidence in future global health crises.
format	Article
author	Jahmunah, Vicnesh Sudarshan, Vidya K. Oh, Shu Lih Gururajan, Raj Gururajan, Rashmi Zhou, Xujuan Tao, Xiaohui Faust, Oliver Ciaccio, Edward J. Ng, Kwan Hoong Acharya, U. Rajendra
author_facet	Jahmunah, Vicnesh Sudarshan, Vidya K. Oh, Shu Lih Gururajan, Raj Gururajan, Rashmi Zhou, Xujuan Tao, Xiaohui Faust, Oliver Ciaccio, Edward J. Ng, Kwan Hoong Acharya, U. Rajendra
author_sort	Jahmunah, Vicnesh
title	Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
title_short	Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
title_full	Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
title_fullStr	Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
title_full_unstemmed	Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
title_sort	future iot tools for covid-19 contact tracing and prediction: a review of the state-of-the-science
publisher	Wiley
publishDate	2021
url	http://eprints.um.edu.my/34432/
_version_	1735570305254948864
score	13.211869

Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science

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