Evidence map›Paper›PMID 29028950›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2017

Epidemiology and Relative Severity of Influenza Subtypes in Singapore in the Post-Pandemic Period from 2009 to 2010.

Ee Hui Goh, Lili Jiang, Jung Pu Hsu, Linda Wei Lin Tan, Wei Yen Lim, Meng Chee Phoon, Yee Sin Leo, Ian G Barr, Vincent Tak Kwong Chow, Vernon J Lee and 5 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2017. 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
–field-weighted citation impact
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.

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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

15 authors.

Ee Hui GohSaw Swee Hock School of Public Health, National University Health System, National University of Singapore.
Lili JiangSaw Swee Hock School of Public Health, National University Health System, National University of Singapore.
Jung Pu HsuSaw Swee Hock School of Public Health, National University Health System, National University of Singapore.
Linda Wei Lin TanSaw Swee Hock School of Public Health, National University Health System, National University of Singapore.
Wei Yen LimSaw Swee Hock School of Public Health, National University Health System, National University of Singapore.
Meng Chee PhoonDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore.
Yee Sin LeoDepartment of Infectious Diseases, Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital.
Ian G BarrWorld Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza, VIDRL, Doherty Institute, University of Melbourne, Victoria, Australia.
Vincent Tak Kwong ChowDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore.
Vernon J LeeSaw Swee Hock School of Public Health, National University Health System, National University of Singapore.
Cui LinNational Public Health Laboratory, Ministry of Health, Singapore, Singapore.
Raymond LinDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore.
Sapna P SadaranganiDepartment of Infectious Diseases, Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital.
Barnaby YoungDepartment of Infectious Diseases, Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital.
Mark I-Cheng ChenSaw Swee Hock School of Public Health, National University Health System, National University of Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter 2009, pandemic influenza A(H1N1) [A(H1N1)pdm09] cocirculated with A(H3N2) and B in Singapore.

methodsA cohort of 760 participants contributed demographic data and up to 4 blood samples each from October 2009 to September 2010. We compared epidemiology of the 3 subtypes and investigated evidence for heterotypic immunity through multivariable logistic regression using a generalized estimating equation. To examine age-related differences in severity between subtypes, we used LOESS (locally weighted smoothing) plots of hospitalization to infection ratios and explored birth cohort effects referencing the pandemic years (1957; 1968).

resultsHaving more household members aged 5-19 years and frequent public transport use increased risk of infection, while preexisting antibodies against the same subtype (odds ratio [OR], 0.61; P = .002) and previous influenza infection against heterotypic infections (OR, 0.32; P = .045) were protective. A(H1N1)pdm09 severity peaked in those born around 1957, while A(H3N2) severity was least in the youngest individuals and increased until it surpassed A(H1N1)pdm09 in those born in 1952 or earlier. Further analysis showed that severity of A(H1N1)pdm09 was less than that for A(H3N2) in those born in 1956 or earlier (P = .021) and vice versa for those born in 1968 or later (P < .001), with no difference in those born between 1957 and 1967 (P = .632).

conclusionsOur findings suggest that childhood exposures had long-term impact on immune responses consistent with the theory of antigenic sin. This, plus observations on short-term cross-protection, have implications for vaccination and influenza epidemic and pandemic mitigation strategies.

Indexed as

AdultAgedAge FactorsAntibodies, ViralCross ProtectionFemaleHospitalizationHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanInfluenza VaccinesMaleMiddle AgedPandemicsRisk FactorsAntibodies, ViralInfluenza Vaccinesbirth cohort effectcross-protectionH1N1pdm09seroepidemiologyseverity

Identifiers

PMID29028950
PMCPMC5850443

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Registered trials

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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.