Evidence map›Paper›PMID 22140569›Full record

ArticlePloS one2011

New variants and age shift to high fatality groups contribute to severe successive waves in the 2009 influenza pandemic in Taiwan.

Ji-Rong Yang, Yuan-Pin Huang, Feng-Yee Chang, Li-Ching Hsu, Yu-Cheng Lin, Chun-Hui Su, Pei-Jer Chen, Ho-Sheng Wu, Ming-Tsan Liu

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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 · 2013
    Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ji-Rong YangCenters for Disease Control, Taipei, Taiwan, ROC.
Yuan-Pin Huang
Feng-Yee Chang
Li-Ching Hsu
Yu-Cheng Lin
Chun-Hui Su
Pei-Jer Chen
Ho-Sheng Wu
Ming-Tsan Liu
Development Center for Biotechnology · TWNational Taiwan University · TW

Funding

VELOCARDIOFACIAL SYNDROME--MOLECULAR &CLINICAL STUDIESP01DC002027 · NIDCD · CHILDREN'S HOSPITAL OF PHILADELPHIA · PI EMANUEL, BEVERLY S · 1994 to 2003
$6.4M
NIDCD NIH HHS P01 DC002027
6 · The paper itself

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.

Indexed as

AdolescentAdultAgedAge DistributionAgingChildChild, PreschoolHospitalizationHumansInfantInfant, NewbornInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMiddle AgedMolecular Sequence DataMutation

Identifiers

PMID22140569
PMCPMC3227656
OpenAlexW2062411384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.