Diagnostic accuracy of CRISPR technology for detecting SARS-CoV-2: a systematic review and meta-analysis.

Li, Xin; Zhang, Huiling; Zhang, Jing; Song, Yang; Shi, Xuening; Zhao, Chao; Wang, Juan

Li, Xin; Zhang, Huiling; Zhang, Jing; Song, Yang; Shi, Xuening; Zhao, Chao; Wang, Juan.

Afiliação

Li X; School of Public Health, Jilin University, Changchun, Jilin, China.
Zhang H; School of Public Health, Jilin University, Changchun, Jilin, China.
Zhang J; School of Public Health, Jilin University, Changchun, Jilin, China.
Song Y; School of Public Health, Jilin University, Changchun, Jilin, China.
Shi X; School of Public Health, Jilin University, Changchun, Jilin, China.
Zhao C; School of Public Health, Jilin University, Changchun, Jilin, China.
Wang J; School of Public Health, Jilin University, Changchun, Jilin, China.

Expert Rev Mol Diagn ; 22(6): 655-663, 2022 06.

Article em En | MEDLINE | ID: mdl-35902079

Assuntos

COVID-19; SARS-CoV-2; COVID-19/diagnóstico; Teste para COVID-19; Humanos; Técnicas de Amplificação de Ácido Nucleico/métodos; SARS-CoV-2/genética; Sensibilidade e Especificidade; Tecnologia

Palavras-chave

COVID-19 testing; CRISPR cas systems; SARS-CoV-2; diagnosis; meta-analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Expert Rev Mol Diagn Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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