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WeightNameValue
1000 Titel
  • Diagnosis of COVID-19 for controlling the pandemic: A review of the state-of-the-art
1000 Autor/in
  1. Taleghani, Nastaran |
  2. Taghipour, Fariborz |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-11-27
1000 Erschienen in
1000 Quellenangabe
  • 174:112830
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.bios.2020.112830 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694563 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • To date, health organizations and countries around the world are struggling to completely control the spread of the coronavirus disease 2019 (COVID-19). Scientists and researchers are developing tests for the rapid detection of individuals who may carry the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), while striving to find a suitable vaccine to immunize healthy individuals. As there are clinically reported cases of asymptomatic carriers of SARS-CoV-2, fast and accurate diagnosis plays an important role in the control and further prevention of this disease. Herein, we present recent technologies and techniques that have been implemented for the diagnosis of COVID-19. We summarize the methods created by different research institutes as well as the commercial devices and kits developed by companies for the detection of SARS-CoV-2. The description of the existing methods is followed by highlighting their advantages and challenges. Finally, we propose some promising techniques that could potentially be applied to the detection of SARS-CoV-2, and tracing the asymptomatic carriers of COVID-19 rapidly and accurately in the early stages of infection, based on reviewing the research studies on the detection of similar infectious viruses, especially severe acute respiratory syndrome (SARS) coronavirus, and Middle East respiratory syndrome (MERS) coronavirus.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Virus detection
lokal Serology tests
lokal Pneumonia
lokal Diagnostics
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/VGFsZWdoYW5pLCBOYXN0YXJhbg==|https://frl.publisso.de/adhoc/uri/VGFnaGlwb3VyLCBGYXJpYm9yeg==
1000 Label
1000 Förderer
  1. Natural Sciences and Engineering Research Council of Canada |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Natural Sciences and Engineering Research Council of Canada |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6427543.rdf
1000 Erstellt am 2021-05-17T13:40:28.366+0200
1000 Erstellt von 284
1000 beschreibt frl:6427543
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Fri Oct 01 10:40:51 CEST 2021
1000 Objekt bearb. Fri Oct 01 10:40:51 CEST 2021
1000 Vgl. frl:6427543
1000 Oai Id
  1. oai:frl.publisso.de:frl:6427543 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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