ArticlePloS one2011
New variants and age shift to high fatality groups contribute to severe successive waves in the 2009 influenza pandemic in Taiwan.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 30 citations in OpenAlex.
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- Comparison of age-specific hospitalization during pandemic and seasonal influenza periods from 2009 to 2012 in Taiwan: a nationwide population-based study.BMC infectious diseases · 2016Article
- Cost-effectiveness analysis of the direct and indirect impact of intranasal live attenuated influenza vaccination strategies in children: alternative country profiles.Journal of market access & health policy · 2016Article
- Prior population immunity reduces the expected impact of CTL-inducing vaccines for pandemic influenza control.PloS one · 2015Article
- Survival analysis of infected mice reveals pathogenic variations in the genome of avian H1N1 viruses.Scientific reports · 2014Article
- Epidemiological and viral genome characteristics of the first human H7N9 influenza infection in Guangdong Province, China.Journal of thoracic disease · 2014Article
- Newly emerging mutations in the matrix genes of the human influenza A(H1N1)pdm09 and A(H3N2) viruses reduce the detection sensitivity of real-time reverse transcription-PCR.Journal of clinical microbiology · 2014Article
- Increased transmissibility explains the third wave of infection by the 2009 H1N1 pandemic virus in England.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Whole genome characterization, phylogenetic and genome signature analysis of human pandemic H1N1 virus in Thailand, 2009-2012.PloS one · 2012Article
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- Taiwan's Public Health National Laboratory System: Success in Influenza Diagnosis and Surveillance.Health securityArticle
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Past influenza pandemics have been characterized by the signature feature of multiple waves. However, the reasons for multiple waves in a pandemic are not understood. Successive waves in the 2009 influenza pandemic, with a sharp increase in hospitalized and fatal cases, occurred in Taiwan during the winter of 2010. In this study, we sought to discover possible contributors to the multiple waves in this influenza pandemic. We conducted a large-scale analysis of 4703 isolates in an unbiased manner to monitor the emergence, dominance and replacement of various variants. Based on the data from influenza surveillance and epidemic curves of each variant clade, we defined virologically and temporally distinct waves of the 2009 pandemic in Taiwan from May 2009 to April 2011 as waves 1 and 2, an interwave period and wave 3. Except for wave 3, each wave was dominated by one distinct variant. In wave 3, three variants emerged and co-circulated, and formed distinct phylogenetic clades, based on the hemagglutinin (HA) genes and other segments. The severity of influenza was represented as the case fatality ratio (CFR) in the hospitalized cases. The CFRs in waves 1 and 2, the interwave period and wave 3 were 6.4%, 5.1%, 15.2% and 9.8%, respectively. The results highlight the association of virus evolution and variable influenza severity. Further analysis revealed that the major affected groups were shifted in the waves to older individuals, who had higher age-specific CFRs. The successive pandemic waves create challenges for the strategic preparedness of health authorities and make the pandemic uncertain and variable. Our findings indicate that the emergence of new variants and age shift to high fatality groups might contribute potentially to the occurrence of successive severe pandemic waves and offer insights into the adjustment of national responses to mitigate influenza pandemics.
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