Error rates in SARS-CoV-2 testing examined with Bayes' theorem.
Bayesian inference
Correction
False negative
False positive
RT-PCR
SARS-CoV-2
Journal
Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560
Informations de publication
Date de publication:
Apr 2021
Apr 2021
Historique:
received:
12
01
2021
revised:
26
02
2021
accepted:
20
04
2021
entrez:
3
5
2021
pubmed:
4
5
2021
medline:
4
5
2021
Statut:
ppublish
Résumé
The SARS-CoV-2 pandemic has created a demand for large scale testing, as part of the effort to understand and control transmission. It is important to quantify the error rates of test equipment under field conditions, which might differ significantly from those obtained in the laboratory. A literature review on SARS-CoV-2 reverse-transcription polymerase chain reaction (RT-PCR) is used to construct a
Identifiants
pubmed: 33937546
doi: 10.1016/j.heliyon.2021.e06905
pii: S2405-8440(21)01008-2
pmc: PMC8080131
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e06905Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2021 The Author.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
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