{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T04:42:37Z","timestamp":1777610557776,"version":"3.51.4"},"reference-count":148,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T00:00:00Z","timestamp":1606348800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Timely detection and diagnosis are essentially needed to guide outbreak measures and infection control. It is vital to improve healthcare quality in public places, markets, schools and airports and provide useful insights into the technological environment and help researchers acknowledge the choices and gaps available in this field. In this narrative review, the detection of coronavirus disease 2019 (COVID-19) technologies is summarized and discussed with a comparison between them from several aspects to arrive at an accurate decision on the feasibility of applying the best of these techniques in the biosensors that operate using laser detection technology. The collection of data in this analysis was done by using six reliable academic databases, namely, Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar and PubMed. This review includes an analysis review of three highlights: evaluating the hazard of pandemic COVID-19 transmission styles and comparing them with Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) to identify the main causes of the virus spreading, a critical analysis to diagnose coronavirus disease 2019 (COVID-19) based on artificial intelligence using CT scans and CXR images and types of biosensors. Finally, we select the best methods that can potentially stop the propagation of the coronavirus pandemic.<\/jats:p>","DOI":"10.3390\/s20236764","type":"journal-article","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T09:04:15Z","timestamp":1606381455000},"page":"6764","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8922-3993","authenticated-orcid":false,"given":"Bakr Ahmed","family":"Taha","sequence":"first","affiliation":[{"name":"UKM\u2014Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3943-8395","authenticated-orcid":false,"given":"Yousif","family":"Al Mashhadany","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq"}]},{"given":"Mohd Hadri","family":"Hafiz Mokhtar","sequence":"additional","affiliation":[{"name":"UKM\u2014Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1440-5434","authenticated-orcid":false,"given":"Mohd Saiful","family":"Dzulkefly Bin Zan","sequence":"additional","affiliation":[{"name":"UKM\u2014Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}]},{"given":"Norhana","family":"Arsad","sequence":"additional","affiliation":[{"name":"UKM\u2014Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/S1473-3099(20)30120-1","article-title":"COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU)","volume":"19","author":"Dong","year":"2020","journal-title":"Lancet Inf. 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