Testing of Diagnostic Methods for Detection of Influenza Virus for Optimal Performance in the Context of an Influenza Surveillance Network

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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.