RT-qPCR-based pool testing for the diagnosis of COVID-19

This study proposes a strategy for large-scale testing among a large number of people for the early diagnosis of COVID-19 to elucidate the epidemiological situation. Pool testing involves the analysis of pooled samples. This study aimed to discuss a reverse transcription technique followed by quanti...

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Detalles Bibliográficos
Autores principales: Sato, Hugo Itaru, Costa, Murilo Soares, Takahashi, Ricardo Hiroshi Caldeira, Lourenço, Karine Lima, Guimarães, Nathalia Sernizon, Alves, Claudia Regina Lindgren, Machado, Elaine Leandro, Tupinambás, Unaí, da Fonseca, Flávio Guimarães, Teixeira, Santuza Maria Ribeiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Israelita de Ensino e Pesquisa Albert Einstein 2023
Materias:
Special Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317113/
https://www.ncbi.nlm.nih.gov/pubmed/37436266
http://dx.doi.org/10.31744/einstein_journal/2023AE0115
Descripción
Sumario:This study proposes a strategy for large-scale testing among a large number of people for the early diagnosis of COVID-19 to elucidate the epidemiological situation. Pool testing involves the analysis of pooled samples. This study aimed to discuss a reverse transcription technique followed by quantitative real-time polymerase chain reaction using pool testing to detect SARS-CoV-2 in nasopharyngeal swab samples. The study proposes an innovative diagnostic strategy that contributes to resource optimization, cost reduction, and improved agility of feedback from results.

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