Evidence map›Paper›PMID 31943817›Full record

ArticleInfluenza and other respiratory viruses2020

Genetic characterization of influenza A(H3N2) viruses circulating in coastal Kenya, 2009-2017.

D Collins Owuor, Joyce M Ngoi, James R Otieno, Grieven P Otieno, Festus M Nyasimi, Joyce U Nyiro, Charles N Agoti, Sandra S Chaves, D James Nokes

Open access · goldAbstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

D Collins OwuorVirus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0002-7830-5475
Joyce M NgoiVirus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.
James R OtienoVirus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0001-9790-2307
Grieven P OtienoVirus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0002-3053-1369
Festus M NyasimiVirus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0001-5062-758X
Joyce U NyiroVirus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0001-7215-6539
Charles N AgotiVirus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0002-2160-567X
Sandra S ChavesInfluenza Division, Centres for Disease Control and Prevention (CDC), Nairobi, Kenya.ORCID 0000-0002-9453-7057
D James NokesVirus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0001-5426-1984
Kenya Medical Research Institute · KECenters for Disease Control and Prevention · KEPwani University · KE

Funding

ACL HHS U01GH002133CDC HHS GH002133CGH CDC HHS U01 GH002133Wellcome TrustWellcome Trust 1029745Wellcome Trust 107769/Z/10/Z
6 · The paper itself

Abstract

backgroundInfluenza viruses evolve rapidly and undergo immune driven selection, especially in the hemagglutinin (HA) protein. We report amino acid changes affecting antigenic epitopes and receptor-binding sites of A(H3N2) viruses circulating in Kilifi, Kenya, from 2009 to 2017.

methodsNext-generation sequencing (NGS) was used to generate A(H3N2) virus genomic data from influenza-positive specimens collected from hospital admissions and health facility outpatients presenting with acute respiratory illness to health facilities within the Kilifi Health and Demographic Surveillance System. Full-length HA sequences were utilized to characterize A(H3N2) virus genetic and antigenic changes.

resultsFrom 186 (90 inpatient and 96 outpatient) influenza A virus-positive specimens processed, 101 A(H3N2) virus whole genomes were obtained. Among viruses identified in inpatient specimens from 2009 to 2015, divergence of circulating A(H3N2) viruses from the vaccine strains A/Perth/16/2009, A/Texas/50/2012, and A/Switzerland/9715293/2013 formed 6 genetic clades (A/Victoria/208/2009-like, 3B, 3C, 3C.2a, 4, and 7). Among viruses identified in outpatient specimens from 2015 to 2017, divergence of circulating A(H3N2) viruses from vaccine strain A/Hong Kong/4801/2014 formed clade 3C.2a, subclades 3C.2a2 and 3C.2a3, and subgroup 3C.2a1b. Several amino acid substitutions were associated with the continued genetic evolution of A(H3N2) strains in circulation.

conclusionsOur results suggest continuing evolution of currently circulating A(H3N2) viruses in Kilifi, coastal Kenya and suggest the need for continuous genetic and antigenic viral surveillance of circulating seasonal influenza viruses with broad geographic representation to facilitate prompt and efficient selection of influenza strains for inclusion in future influenza vaccines.

Indexed as

AdolescentAdultAgedAmino Acid SequenceAmino Acid SubstitutionChildChild, PreschoolFemaleGenetic VariationHumansInfantInfluenza A Virus, H3N2 SubtypeInfluenza, HumanKenyaMaleMiddle Agedcoastal Kenyaevolutionhemagglutinininfluenza A(H3N2) virusKilifinext-generation sequencing

Identifiers

PMID31943817
PMCPMC7182596
OpenAlexW2999219198

What OpenQuestion holds

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LicenceCC BY
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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.