title: Testing of diagnostic methods for detection of influenza virus for optimal performance in the context of an influenza surveillance network.
abstract: Influenza surveillance networks must detect early the viruses that will cause the forthcoming annual epidemics and isolate the strains for further characterization. We obtained the highest sensitivity (95.4%) with a diagnostic tool that combined a shell-vial assay and reverse transcription-PCR on cell culture supernatants at 48 h, and indeed, recovered the strain.
authors.affiliation: Servicio de Microbiología, Hospital Universitario Virgen de las Nieves, Avda. Fuerzas Armadas, 2, 18014 Granada, Spain. mercedes.perez.ruiz.sspa@juntadeandalucia.es
authors.forename: Mercedes
authors.initials: M
authors.lastname: Pérez-Ruiz
authors.forename: Ruth
authors.initials: R
authors.lastname: Yeste
authors.forename: María-José
authors.initials: MJ
authors.lastname: Ruiz-Pérez
authors.forename: Alfonso
authors.initials: A
authors.lastname: Ruiz-Bravo
authors.forename: Manuel
authors.initials: M
authors.lastname: de la Rosa-Fraile
authors.forename: José María
authors.initials: JM
authors.lastname: Navarro-Marí
mesh_terms: D006801:Humans; D007251:Influenza, Human / Q000821:virology*; D025202:Molecular Diagnostic Techniques / Q000379:methods*; D009975:Orthomyxoviridae / Q000235:genetics / Q000254:growth & development / Q000302:isolation & purification*; D012680:Sensitivity and Specificity; D018571:Sentinel Surveillance; D014773:Virology / Q000379:methods*; D014776:Virus Cultivation / Q000379:methods*