The impact of primer and probe-template mismatches on the sensitivity of pandemic influenza A/H1N1/2009 virus detection by real-time RT-PCR

2010 ◽  
Vol 48 (2) ◽  
pp. 91-95 ◽  
Author(s):  
Chonticha Klungthong ◽  
Piyawan Chinnawirotpisan ◽  
Kittinun Hussem ◽  
Thipwipha Phonpakobsin ◽  
Wudtichai Manasatienkij ◽  
...  
Keyword(s):  
Real Time ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Virus Detection ◽  
Rt Pcr ◽  
Influenza A H1n1 ◽  
The Impact

The detection of oseltamivir-resistant pandemic influenza A/H1N1 2009 viruses using a real-time RT-PCR assay

2010 ◽  
Vol 169 (1) ◽  
pp. 47-51 ◽  
Author(s):  
Glenys R. Chidlow ◽  
Gerald B. Harnett ◽  
Simon H. Williams ◽  
Simone S. Tempone ◽  
David J. Speers ◽  
...  
Keyword(s):  
Real Time ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Rt Pcr ◽  
Pcr Assay ◽  
Influenza A H1n1

Development of the real-time RT-PCR detection system for determination of pandemic influenza A (H1N1) virus

2011 ◽  
Vol 55 (1) ◽  
pp. 85-87 ◽  
Author(s):  
R. GAO ◽  
D. WANG ◽  
L. WEN ◽  
X. LI ◽  
W. WANG ◽  
...  
Keyword(s):  
Real Time ◽  
Pandemic Influenza ◽  
Influenza A ◽  
H1n1 Virus ◽  
Detection System ◽  
Pcr Detection ◽  
Rt Pcr ◽  
The Real ◽  
Influenza A H1n1

Comparison of real-time RT-PCR, shell vial culture, and conventional cell culture for the detection of the pandemic influenza A (H1N1) in hospitalized patients

2011 ◽  
Vol 69 (4) ◽  
pp. 428-431 ◽  
Author(s):  
Paula López Roa ◽  
Pilar Catalán ◽  
Maddalena Giannella ◽  
Darío García de Viedma ◽  
Virginia Sandonis ◽  
...  
Keyword(s):  
Cell Culture ◽  
Real Time ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Hospitalized Patients ◽  
Rt Pcr ◽  
Shell Vial ◽  
Influenza A H1n1 ◽  
Conventional Cell

scholarly journals Simultaneous typing and HA/NA subtyping of influenza A and B viruses including the pandemic influenza A/H1N1 2009 by multiplex real-time RT-PCR

2010 ◽  
Vol 167 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Yaowu Yang ◽  
Richard Gonzalez ◽  
Fang Huang ◽  
Wei Wang ◽  
Yongjun Li ◽  
...  
Keyword(s):  
Real Time ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Rt Pcr ◽  
Influenza A H1n1

Detection of novel influenza A(H1N1) virus by real-time RT-PCR

2009 ◽  
Vol 45 (3) ◽  
pp. 203-204 ◽  
Author(s):  
David M. Whiley ◽  
Seweryn Bialasiewicz ◽  
Cheryl Bletchly ◽  
Cassandra E. Faux ◽  
Bruce Harrower ◽  
...  
Keyword(s):  
Real Time ◽  
Influenza A ◽  
H1n1 Virus ◽  
Rt Pcr ◽  
Influenza A H1n1 ◽  
Novel Influenza A

The Impact of Pandemic Influenza A H1N1 2009 on Australian Lung Transplant Recipients

2011 ◽  
Vol 11 (3) ◽  
pp. 568-574 ◽  
Author(s):  
B. J. H. Ng ◽  
A. R. Glanville ◽  
G. Snell ◽  
M. Musk ◽  
M. Holmes ◽  
...  
Keyword(s):  
Pandemic Influenza ◽  
Influenza A ◽  
Lung Transplant ◽  
Transplant Recipients ◽  
Influenza A H1n1 ◽  
Lung Transplant Recipients ◽  
The Impact

scholarly journals Real-time estimation of the hospitalization fatality risk of influenza A(H1N1)pdm09 in Hong Kong

2015 ◽  
Vol 144 (8) ◽  
pp. 1579-1583
Author(s):  
J. Y. WONG ◽  
P. WU ◽  
E. H. Y. LAU ◽  
T. K. TSANG ◽  
V. J. FANG ◽  
...  
Keyword(s):  
Hong Kong ◽  
Real Time ◽  
Influenza A ◽  
Early Stage ◽  
Influenza Pandemic ◽  
Influenza Viruses ◽  
Right Censoring ◽  
Fatality Risk ◽  
Influenza A H1n1 ◽  
The Impact

SUMMARYDuring the early stage of an epidemic, timely and reliable estimation of the severity of infections are important for predicting the impact that the influenza viruses will have in the population. We obtained age-specific deaths and hospitalizations for patients with laboratory-confirmed H1N1pdm09 infections from June 2009 to December 2009 in Hong Kong. We retrospectively obtained the real-time estimates of the hospitalization fatality risk (HFR), using crude estimation or allowing for right-censoring for final status in some patients. Models accounting for right-censoring performed better than models without adjustments. The risk of deaths in hospitalized patients with confirmed H1N1pdm09 increased with age. Reliable estimates of the HFR could be obtained before the peak of the first wave of H1N1pdm09 in young and middle-aged adults but after the peak in the elderly. In the next influenza pandemic, timely estimation of the HFR will contribute to risk assessment and disease control.

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