Type A Influenza Virus Detection and Quantitation by Real-Time RT-PCR

2008 ◽  
pp. 19-26 ◽  
Author(s):  
Erica Spackman ◽  
David L. Suarez
2010 ◽  
Vol 16 (4) ◽  
pp. 317-321 ◽  
Author(s):  
M. Bouscambert Duchamp ◽  
J.S. Casalegno ◽  
Y. Gillet ◽  
E. Frobert ◽  
E. Bernard ◽  
...  

2021 ◽  
Vol 11 (4) ◽  
pp. 290-296
Author(s):  
Man Jin Kim ◽  
Hyunwoong Park ◽  
You La Jeon ◽  
Ho Seob Shin ◽  
Sung Im Cho ◽  
...  

2009 ◽  
Vol 44 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Francesca Sidoti ◽  
Francesca Rizzo ◽  
Cristina Costa ◽  
Sara Astegiano ◽  
Antonio Curtoni ◽  
...  
Keyword(s):  
Type A ◽  
Rt Pcr ◽  

2019 ◽  
Vol 57 (9) ◽  
Author(s):  
Sarah Spencer ◽  
Mark G. Thompson ◽  
Brendan Flannery ◽  
Alicia Fry

ABSTRACTThe detection of influenza virus in respiratory specimens from ill individuals is the most commonly used method to identify influenza virus infection. A number of respiratory specimen types may be used, including swabs, brush, aspirate, and wash, and specimens may be collected from numerous sites, including the anterior and posterior nasopharynx, oropharynx, and nares. Traditionally, respiratory specimens from the nasopharynx have been considered to have the highest sensitivity for viral detection. However, as molecular assays such as reverse transcription-PCR (RT-PCR) have increased the sensitivity of viral detection from respiratory specimens, the use of less-invasive and easier-to-obtain specimens has increased for the detection of influenza virus. This review presents and evaluates the sensitivities of respiratory specimen methods used in epidemiologic studies that used RT-PCR to detect influenza virus in respiratory specimens from ill patients. This literature review suggested that a combination of two less-invasive swabbing methods, such as nasal and oropharyngeal swabs, had about the same sensitivity as did nasopharyngeal specimens for influenza virus detection by RT-PCR. By combining two less-invasive collection methods, it may be possible to reduce barriers to enrollment without compromising influenza virus detection sensitivity.


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