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, Ahmad Arslan, Muhammad Ali Imran

    Research output: Contribution to journalReview articlepeer-review

    22 Citations (Scopus)
    21 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 languageEnglish
    Article number5665
    Pages (from-to)1-19
    Number of pages19
    JournalSensors
    Volume20
    Issue number19
    DOIs
    Publication statusPublished - 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

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