Evidence map›Paper›PMID 30226188›Full record

ArticleEmerging infectious diseases2018

Frequent Genetic Mismatch between Vaccine Strains and Circulating Seasonal Influenza Viruses, Hong Kong, China, 1996-2012.

Martin C W Chan, Maggie H Wang, Zigui Chen, David S C Hui, Angela K Kwok, Apple C M Yeung, Kun M Liu, Yun Kit Yeoh, Nelson Lee, Paul K S Chan

Open access · diamondAbstract readHistorical Article
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

20 citing papers in PubMed, 22 citations in OpenAlex.

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  8. RuvidarViruses · 2025
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  20. Roger E. Thomas Comments.American journal of public health · 2019
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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

10 authors.

Martin C W Chan
Maggie H Wang
Zigui Chen
David S C Hui
Angela K Kwok
Apple C M Yeung
Kun M Liu
Yun Kit Yeoh
Nelson Lee
Paul K S Chan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization selects influenza vaccine compositions biannually to cater to peaks in temperate regions. In tropical and subtropical regions, where influenza seasonality varies and epidemics can occur year-round, the choice of vaccine remains uncertain. Our 17-year molecular epidemiologic survey showed that most influenza A(H3N2) (9/11) and B (6/7) vaccine strains had circulated in East Asia >1 year before inclusion into vaccines. Northern Hemisphere vaccine strains and circulating strains in East Asia were closely matched in 7 (20.6%) of 34 seasons for H3N2 and 5 (14.7%) of 34 seasons for B. Southern Hemisphere vaccines also had a low probability of matching (H3N2, 14.7%; B, 11.1%). Strain drift among seasons was common (H3N2, 41.2%; B, 35.3%), and biannual vaccination strategy (Northern Hemisphere vaccines in November followed by Southern Hemisphere vaccines in May) did not improve matching. East Asia is an important contributor to influenza surveillance but often has mismatch between vaccine and contemporarily circulating strains.

Indexed as

Genetic VariationSeasonsAlphainfluenzavirusBetainfluenzavirusHemagglutinin Glycoproteins, Influenza VirusHistory, 20th CenturyHistory, 21st CenturyHong KongHumansInfluenza, HumanInfluenza VaccinesMolecular EpidemiologyPhylogenyRetrospective StudiesRNA, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesRNA, Viralantigenic driftChinagenetic drifthemagglutininHong KonginfluenzaMolecular epidemiologysubtropicsvaccinationvaccinesviruses

Identifiers

PMID30226188
PMCPMC6154132
OpenAlexW2885538707

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.