Evidence map›Paper›PMID 32660437›Full record

ArticleBMC infectious diseases2020

Rotavirus group A genotype circulation patterns across Kenya before and after nationwide vaccine introduction, 2010-2018.

Mike J Mwanga, Betty E Owor, John B Ochieng, Mwanajuma H Ngama, Billy Ogwel, Clayton Onyango, Jane Juma, Regina Njeru, Elijah Gicheru, Grieven P Otieno and 12 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  7. 14 years of rotavirus A surveillance: unusual dominance of equine-like G3P[8] genotype with DS-1-like genotype constellation after the pandemic, Belgium, 2009 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  8. Article
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  10. Phylodynamic characteristics of reassortant DS-1-like G3P[8]-strains of rotavirus type A isolated in Nizhny Novgorod (Russia).Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
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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

22 authors.

Mike J MwangaWellcome Trust Research Programme, Kenya Medical Research Institute, Kilifi, Kenya. mikemwanga6@gmail.com.ORCID http://orcid.org/0000-0003-1481-1405
Betty E OworWellcome Trust Research Programme, Kenya Medical Research Institute, Kilifi, Kenya.
John B OchiengKenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya.
Mwanajuma H NgamaWellcome Trust Research Programme, Kenya Medical Research Institute, Kilifi, Kenya.
Billy OgwelKenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya.
Clayton OnyangoDivision of Global Health Protection, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Jane JumaKenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya.
Regina NjeruWellcome Trust Research Programme, Kenya Medical Research Institute, Kilifi, Kenya.
Elijah GicheruWellcome Trust Research Programme, Kenya Medical Research Institute, Kilifi, Kenya.
Grieven P OtienoWellcome Trust Research Programme, Kenya Medical Research Institute, Kilifi, Kenya.
Sammy KhagayiKenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya.
Charles N AgotiWellcome Trust Research Programme, Kenya Medical Research Institute, Kilifi, Kenya.
Godfrey M BigogoKenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya.
Richard OmoreKenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya.
O Yaw AddoGlobal Health Institute, Emory University, Atlanta, GA, USA.
Seheri MapasekaDepartment of Virology, South African Medical Research Council/Diarrheal Pathogens Research Unit, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
Jacqueline E TateDivision of Viral Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Umesh D ParasharDivision of Viral Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Elizabeth HunspergerDivision of Global Health Protection, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Jennifer R VeraniDivision of Global Health Protection, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Robert F BreimanGlobal Health Institute, Emory University, Atlanta, GA, USA.
D James NokesWellcome Trust Research Programme, Kenya Medical Research Institute, Kilifi, Kenya. jnokes@kemri-wellcome.org.

Funding

Wellcome Trust 102975Wellcome Trust 203077
6 · The paper itself

Abstract

backgroundKenya introduced the monovalent G1P [8] Rotarix® vaccine into the infant immunization schedule in July 2014. We examined trends in rotavirus group A (RVA) genotype distribution pre- (January 2010-June 2014) and post- (July 2014-December 2018) RVA vaccine introduction.

methodsStool samples were collected from children aged < 13 years from four surveillance sites across Kenya: Kilifi County Hospital, Tabitha Clinic Nairobi, Lwak Mission Hospital, and Siaya County Referral Hospital (children aged < 5 years only). Samples were screened for RVA using enzyme linked immunosorbent assay (ELISA) and VP7 and VP4 genes sequenced to infer genotypes.

resultsWe genotyped 614 samples in pre-vaccine and 261 in post-vaccine introduction periods. During the pre-vaccine introduction period, the most frequent RVA genotypes were G1P [8] (45.8%), G8P [4] (15.8%), G9P [8] (13.2%), G2P [4] (7.0%) and G3P [6] (3.1%). In the post-vaccine introduction period, the most frequent genotypes were G1P [8] (52.1%), G2P [4] (20.7%) and G3P [8] (16.1%). Predominant genotypes varied by year and site in both pre and post-vaccine periods. Temporal genotype patterns showed an increase in prevalence of vaccine heterotypic genotypes, such as the commonly DS-1-like G2P [4] (7.0 to 20.7%, P < .001) and G3P [8] (1.3 to 16.1%, P < .001) genotypes in the post-vaccine introduction period. Additionally, we observed a decline in prevalence of genotypes G8P [4] (15.8 to 0.4%, P < .001) and G9P [8] (13.2 to 5.4%, P < .001) in the post-vaccine introduction period. Phylogenetic analysis of genotype G1P [8], revealed circulation of strains of lineages G1-I, G1-II and P [8]-1, P [8]-III and P [8]-IV. Considerable genetic diversity was observed between the pre and post-vaccine strains, evidenced by distinct clusters.

conclusionGenotype prevalence varied from before to after vaccine introduction. Such observations emphasize the need for long-term surveillance to monitor vaccine impact. These changes may represent natural secular variation or possible immuno-epidemiological changes arising from the introduction of the vaccine. Full genome sequencing could provide insights into post-vaccine evolutionary pressures and antigenic diversity.

Indexed as

GenotypeVaccinationChildChild, PreschoolEnzyme-Linked Immunosorbent AssayFecesFemaleGastroenteritisHumansImmunization ScheduleInfantKenyaMalePhylogenyPrevalenceRotavirusRIX4414 vaccineRotavirus VaccinesVaccines, AttenuatedGenotypeKenyaPost-vaccinePre-vaccineRotavirus

Identifiers

PMID32660437
PMCPMC7359451

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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.