RT Journal Article
T1 Testing of Diagnostic Methods for Detection of Influenza Virusfor Optimal Performance in the Context of an Influenza Surveillance Network
A1 Pérez-Ruiz, Mercedes
A1 Yeste, Ruth
A1 Ruiz-Pérez, María-José
A1 Ruiz-Bravo, Alfonso
A1 de la Rosa-Fraile, Manuel
A1 Navarro-Marí, José María
K1 Humanos
K1 Gripe humana
K1 Patología molecular
K1 Orthomyxoviridae
K1 Sensibilidad y especificidad
K1 Vigilancia de guardia
K1 Virología
K1 Cultivo de virus
AB 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
PB American Society for Microbiology
SN 0095-1137
YR 2007
FD 2007-09
LK http://hdl.handle.net/10668/2113
UL http://hdl.handle.net/10668/2113
LA en
NO Pérez-Ruiz M, , Yeste R,  Ruiz-Pérez MJ, Ruiz-Bravo A, de la Rosa-Fraile M  , Navarro-Marí JM.  Testing of Diagnostic Methods for Detection of Influenza Virus for Optimal Performance in the Context of an Influenza Surveillance Network. J Clin Microbiol. 2007 Sep;45(9):3109-10
DS RISalud
RD Jul 4, 2025