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Actualización del informe del GTM sobre pruebas de diagnóstico de COVID-19

Authors: Diego Puga; Laura M. Lechuga; Mariano Esteban; Grupo de Trabajo Multidisciplinar; Pedro Jordano; Beatriz González López Valcárcel; Jose M. Ordovas; +15 Authors

Actualización del informe del GTM sobre pruebas de diagnóstico de COVID-19

Abstract

El Grupo de Trabajo Multidisciplinar (GTM) asesora y apoya al Ministerio de Ciencia e Innovación en materias científicas relacionadas con el COVID-19 y sus consecuencias futuras. El GTM está compuesto por: José M. Ordovás (Presidente), Mariano Esteban, Rocío García-Retamero, Beatriz González LópezValcárcel, Alfonso Gordaliza, Marco Inzitari, Pedro Jordano, Itziar de Lecuona, Laura M. Lechuga, Ramón López de Mántaras, José Molero, Agustín Portela, Diego Puga, José Javier Ramasco, Francisco SánchezMadrid y Alfonso Valencia. Enric Banda actúa como observador, y Maria Sol Serrano Alonso como secretaria. Todos los componentes del GTM colaboran de forma desinteresada con el Ministerio de Ciencia e Innovación. En este informe ha colaborado de forma desinteresada los Dres. África González Fernández, Marcos López Hoyos, María del Carmen Martín Alonso, Jordi Cano Ochando y Estanislao Nistal Villar (miembros de la Sociedad Española de Inmunología)

Este informe comprende una breve actualización y revisión de los diferentes sistemas y métodos de diagnóstico disponibles actualmente para la infección COVID-19, causada por el coronavirus SARS-CoV-2. Los métodos de detección se clasifican en dos estrategias directas y una estrategia indirecta, todas ellas bien diferenciadas y cada una con sus ventajas y limitaciones. El alto nivel de transmisión del virus SARS-CoV-2 ha demostrado la importancia de disponer de pruebas diagnósticas rápidas, sensibles y específicas que puedan identificar a las personas infectadas, así como a aquellas que ya han sufrido la infección y han generado protección inmunitaria.

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citations
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BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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