Detection of Influenza Virus Infection Using Two PCR Methods
Joint Authors
Zimmerman, Richard K.
Nowalk, Mary Patricia
Balasubramani, G. K.
Thompson, Mark G.
Bullotta, Arlene
Susick, Michael
Wisniewski, Stephen
Rinaldo, Charles R.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-3, 3 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-10
Country of Publication
Egypt
No. of Pages
3
Main Subjects
Abstract EN
Rapid, accurate, and cost-effective methods to identify the cause of respiratory tract infections are needed to maximize clinical benefit.
Outpatients with acute respiratory illness were tested for influenza using a singleplex reverse transcriptase polymerase chain reaction (SRT-PCR) method.
A multiplex RT-PCR (MRT-PCR) method tested for influenza and 17 other viruses and was compared with SRT-PCR using chi-square tests.
Among 935 patients, 335 (36%) tested positive for influenza A and influenza B using SRT-PCR.
Using MRT-PCR, 320 (34.2%) tested positive for influenza A and influenza B.
This study supports MRT-PCR as a comparable method for detecting influenza among patients seeking outpatient care for acute respiratory illnesses.
American Psychological Association (APA)
Zimmerman, Richard K.& Rinaldo, Charles R.& Thompson, Mark G.& Bullotta, Arlene& Susick, Michael& Wisniewski, Stephen…[et al.]. 2014. Detection of Influenza Virus Infection Using Two PCR Methods. Advances in Virology،Vol. 2014, no. 2014, pp.1-3.
https://search.emarefa.net/detail/BIM-1034370
Modern Language Association (MLA)
Thompson, Mark G.…[et al.]. Detection of Influenza Virus Infection Using Two PCR Methods. Advances in Virology No. 2014 (2014), pp.1-3.
https://search.emarefa.net/detail/BIM-1034370
American Medical Association (AMA)
Zimmerman, Richard K.& Rinaldo, Charles R.& Thompson, Mark G.& Bullotta, Arlene& Susick, Michael& Wisniewski, Stephen…[et al.]. Detection of Influenza Virus Infection Using Two PCR Methods. Advances in Virology. 2014. Vol. 2014, no. 2014, pp.1-3.
https://search.emarefa.net/detail/BIM-1034370
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034370
