← Volver a resultados
Ficha bibliográfica · Consulta y acceso
Artículo

Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

Victor M. Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel K. W. Chu; Tobias Bleicker; Sebastian Brünink · Eurosurveillance · 2020

Página del recurso
Lectura rápida. Revisá los datos básicos del recurso y luego accedé al contenido desde el botón principal. En esta ficha solo se muestra la información necesaria para identificar la obra, citarla y abrirla.

Acceso al recurso

Entrá al contenido desde la opción principal o elegí otra fuente disponible.

Acceso principal

Página del recurso

Página de referencia del recurso. El texto completo no está confirmado automáticamente.
Abrir recurso

Resumen

Descripción general del contenido del recurso.

BACKGROUND: The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially thought, and international spread through travellers does already occur. AIM: We aimed to develop and deploy robust diagnostic methodology for use in public health laboratory settings without having virus material available. METHODS: Here we present a validated diagnostic workflow for 2019-nCoV, its design relying on close genetic relatedness of 2019-nCoV with SARS coronavirus, making use of synthetic nucleic acid technology. RESULTS: The workflow reliably detects 2019-nCoV, and further discriminates 2019-nCoV from SARS-CoV. Through coordination between academic and public laboratories, we confirmed assay exclusivity based on 297 original clinical specimens containing a full spectrum of human respiratory viruses. Control material is made available through European Virus Archive - Global (EVAg), a European Union infrastructure project. CONCLUSION: The present study demonstrates the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.

Cómo citar

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Corman, V. M, Landt, O, Kaiser, M, Molenkamp, R, Meijer, A, Chu, D. K. W, Bleicker, T, & Brünink, S. (2020). Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. https://doi.org/10.2807/1560-7917.es.2020.25.3.2000045

MLA

Corman, Victor M, et al. "Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR." 2020. https://doi.org/10.2807/1560-7917.es.2020.25.3.2000045.

Chicago

Corman, Victor M, Olfert Landt, Marco Kaiser, Richard Molenkamp, Adam Meijer, Daniel K. W. Chu, Tobias Bleicker, and Sebastian Brünink. 2020. "Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR.". https://doi.org/10.2807/1560-7917.es.2020.25.3.2000045.

Harvard

Corman, V. M. et al. 2020, Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR, Eurosurveillance, available at: https://doi.org/10.2807/1560-7917.es.2020.25.3.2000045 [Accessed 3 Jul. 2026].

Compartir e imprimir

Guardá la ficha, copiá su enlace permanente o imprimila como PDF.

Exportar referencia

Si usás un gestor bibliográfico, podés exportar el registro en los formatos más comunes.

Detalles del recurso

Información bibliográfica útil para confirmar que se trata del material correcto.

Título
Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
Autor / colaboradores
Victor M. Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel K. W. Chu; Tobias Bleicker; Sebastian Brünink
Editorial
Eurosurveillance
Año de publicación
2020
Idioma
en

Materias

Explorá otros recursos relacionados a partir de estas materias.

Copiado