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Diagnosing COVID-19: The Disease and Tools for Detection

2020· review· en· 1,840 citations· W3012991084 on OpenAlex· 10.1021/acsnano.0c02624

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.159
GPT teacher head0.400
Teacher spread
0.241 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

COVID-19 has spread globally since its discovery in Hubei province, China in December 2019. A combination of computed tomography imaging, whole genome sequencing, and electron microscopy were initially used to screen and identify SARS-CoV-2, the viral etiology of COVID-19. The aim of this review article is to inform the audience of diagnostic and surveillance technologies for SARS-CoV-2 and their performance characteristics. We describe point-of-care diagnostics that are on the horizon and encourage academics to advance their technologies beyond conception. Developing plug-and-play diagnostics to manage the SARS-CoV-2 outbreak would be useful in preventing future epidemics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
ACS Nano
Topic
SARS-CoV-2 detection and testing
Field
Medicine
Canadian institutions
Hospital for Sick ChildrenSunnybrook Health Science CentrePublic Health OntarioUniversity of Toronto
Funders
Natural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
Keywords
Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Outbreak2019-20 coronavirus outbreakPoint of carePoint-of-care testingData scienceVirologyPandemicDiseaseComputer scienceComputational biologyMedicineBiologyInfectious disease (medical specialty)Pathology
Has abstract in OpenAlex
yes