Reliable Detection of Respiratory Syncytial Virus Infection in Children for Adequate Hospital Infection Control Management
Author:
Affiliation:
1. Institute of Medical Virology, University of Zurich,1 and
2. Department of Infectious Diseases, University Children's Hospital,2Zurich, Switzerland
Abstract
Publisher
American Society for Microbiology
Subject
Microbiology (medical)
Link
https://journals.asm.org/doi/pdf/10.1128/JCM.39.9.3135-3139.2001
Reference19 articles.
1. Comparison of rapid diagnostic techniques for respiratory syncytial and influenza A virus respiratory infections in young children
2. Laboratory diagnosis of respiratory virus infections in 24 hours by utilizing shell vial cultures
3. Rapid simultaneous diagnosis of infections with respiratory syncytial viruses A and B, influenza viruses A and B, and human parainfluenza virus type 1, 2, and 3 by multiplex quantitative reverse transcription-polymerase chain reaction-enzyme hybridization assay (Hexaplex);Fan J.;Clin. Infect. Dis.,1998
4. Quantitative shedding patterns of respiratory syncytial virus in infants;Hall C. B.;J. Infect. Dis.,1975
5. Evaluation of a rapid diagnostic test for respiratory syncytial virus (RSV): potential for bedside diagnosis;Krilov L. R.;Pediatrics,1994
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