Testing of diagnostic methods for detection of influenza virus for optimal performance in the context of an influenza surveillance network.
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.
Pérez-Ruiz
Mercedes
M
Servicio de Microbiología, Hospital Universitario Virgen de las Nieves, Avda. Fuerzas Armadas, 2, 18014 Granada, Spain. mercedes.perez.ruiz.sspa@juntadeandalucia.es
Yeste
Ruth
R
Ruiz-Pérez
María-José
MJ
Ruiz-Bravo
Alfonso
A
de la Rosa-Fraile
Manuel
M
Navarro-Marí
José María
JM
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*