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Open AccessJournal ArticleDOI

Laboratory Diagnosis of COVID-19: Current Issues and Challenges.

TLDR
In the preanalytical stage, collecting the proper respiratory tract specimen at the right time from the right anatomic site is essential for a prompt and accurate molecular diagnosis of COVID-19, and real-time reverse transcription-PCR assays remain the molecular test of choice for the etiologic diagnosis of SARS-CoV-2 infection while antibody-based techniques are being introduced as supplemental tools.
Abstract
The COVID-19 outbreak has had a major impact on clinical microbiology laboratories in the past several months. This commentary covers current issues and challenges for the laboratory diagnosis of infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In the preanalytical stage, collecting the proper respiratory tract specimen at the right time from the right anatomic site is essential for a prompt and accurate molecular diagnosis of COVID-19. Appropriate measures are required to keep laboratory staff safe while producing reliable test results. In the analytic stage, real-time reverse transcription-PCR (RT-PCR) assays remain the molecular test of choice for the etiologic diagnosis of SARS-CoV-2 infection while antibody-based techniques are being introduced as supplemental tools. In the postanalytical stage, testing results should be carefully interpreted using both molecular and serological findings. Finally, random-access, integrated devices available at the point of care with scalable capacities will facilitate the rapid and accurate diagnosis and monitoring of SARS-CoV-2 infections and greatly assist in the control of this outbreak.

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CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds

TL;DR: To build a robust model, the large-scale multi-sound FluSense dataset is utilised to help detect COVID-19 from cough sounds in this study and the transfer learning framework (namely CovNet) is proposed and applied rather than simply augmenting the training data with FluSense.
Journal ArticleDOI

The role of 3D printing in the fight against COVID-19 outbreak

TL;DR: In this paper, various designs accommodated for the current worldwide outbreak of COVID-19 are discussed and how 3D printing could help the global community against the current and future conditions has been explored.
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Opportunities and Risks for Research Biobanks in the COVID-19 Era and Beyond.

TL;DR: The opportunities and risks of biobanks during and after the SARS-CoV-2 pandemic will be highlighted, and the different aspects of safety and sustainability have and will be the main challenges for biob banks.
Journal ArticleDOI

How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions?

TL;DR: In this paper, the authors develop an agent-based simulation framework in Python that can simulate various testing policies as well as interventions such as lockdown based on them and compare the performance of three testing policies: Random Symptomatic Testing (RST), Contact Tracing (CT), and a new Location-Based Testing policy (LBT).
References
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Journal ArticleDOI

A pneumonia outbreak associated with a new coronavirus of probable bat origin

TL;DR: Identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China, and it is shown that this virus belongs to the species of SARSr-CoV, indicates that the virus is related to a bat coronav virus.
Journal ArticleDOI

A new coronavirus associated with human respiratory disease in China.

TL;DR: Phylogenetic and metagenomic analyses of the complete viral genome of a new coronavirus from the family Coronaviridae reveal that the virus is closely related to a group of SARS-like coronaviruses found in bats in China.
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