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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/4992
Diagnosing COVID-19: The Disease and Tools for Detection | |
Udugama Buddhisha. Kadhiresan Pranav. Kozlowski Hannah N.. Malekjahani Ayden. Osborne Matthew. Li Vanessa Y. C.. Chen Hongmin. Mubareka Samira. Gubbay Jonathan B.. Chan Warren C. W.. | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
10.1021/acsnano.0c02624 | |
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. | |
ACS Nano | |
2020 | |
Artículo | |
https://pubs.acs.org/doi/pdf/10.1021/acsnano.0c02624 | |
Inglés | |
VIRUS RESPIRATORIOS | |
Aparece en las colecciones: | Artículos científicos |
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1108007.pdf | 5 MB | Adobe PDF | Visualizar/Abrir |