A review of the state of the art in non-contact sensing for covid-19

William  Taylor; Qammer H.  Abbasi; Kia  Dashtipour; Shuja  Ansari; Syed Aziz Shah; Khalid Arslan; Muhammad Ali  Imran

doi:10.3390/s20195665

A review of the state of the art in non-contact sensing for covid-19

William Taylor, Qammer H. Abbasi, Kia Dashtipour , Shuja Ansari , Syed Aziz Shah, Khalid Arslan, Muhammad Ali Imran

University of Glasgow

Research output: Contribution to journal › Review article › peer-review

80 Citations (Scopus)

71 Downloads (Pure)

Abstract

COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.

Original language	English
Article number	5665
Number of pages	19
Journal	Sensors
Volume	20
Issue number	19
DOIs	https://doi.org/10.3390/s20195665
Publication status	Published - 3 Oct 2020

Bibliographical note

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/).

Keywords

COVID-19
population health
Sars-Cov-2
AL
ML
disease diagnostics
sensing
Disease diagnostics
AI
Sensing
Population health

ASJC Scopus subject areas

Analytical Chemistry
Instrumentation
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Biochemistry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/s20195665Licence: CC BY

PublishedFinal published version, 766 KBLicence: CC BY

Cite this

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abstract = "COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.",

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AU - Ansari , Shuja

AU - Shah, Syed Aziz

AU - Arslan, Khalid

AU - Imran , Muhammad Ali

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AB - COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.

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KW - Disease diagnostics

KW - AI

KW - Sensing

KW - Population health

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M3 - Review article

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JO - Sensors

JF - Sensors

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A review of the state of the art in non-contact sensing for covid-19

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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