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Rethinking COVID-19 test sensitivity-a strategy for improving the detection limit.
Akhtar, Mohammed Kalim; Leung, Ross Ka-Kit; Khan, Gulfaraz.
  • Akhtar MK; Department of Chemistry, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.
  • Leung RK; Stanley Ho Centre for Emerging Infectious Diseases, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Khan G; Medical Microbiology and Immunology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
Pan Afr Med J ; 39: 244, 2021.
Article in English | MEDLINE | ID: covidwho-1468747
ABSTRACT
Numerous genetic tests for the detection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, including those based on the ever-popular real-time polymerase chain reaction (RT-qPCR) technique, have been reported. These diagnostic tests give false negatives particularly during the early and late stages of COVID-19 clearly indicating inadequate test sensitivity. The entire COVID-19 diagnostic workflow is often overlooked and given very little attention. Herein, we propose that volumetric modifications to COVID-19 workflows would significantly improve detection limits. We would therefore encourage researchers to adopt a holistic approach, in which all the steps of a COVID-19 diagnostic workflow, are carefully scrutinised, particularly those upstream factors at the viral sampling and pre-analytical stages.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Real-Time Polymerase Chain Reaction / COVID-19 Testing / COVID-19 Type of study: Diagnostic study Topics: Long Covid Limits: Humans Language: English Journal: Pan Afr Med J Year: 2021 Document Type: Article Affiliation country: Pamj.2021.39.244.30131

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Real-Time Polymerase Chain Reaction / COVID-19 Testing / COVID-19 Type of study: Diagnostic study Topics: Long Covid Limits: Humans Language: English Journal: Pan Afr Med J Year: 2021 Document Type: Article Affiliation country: Pamj.2021.39.244.30131