Evidence map›Paper›PMID 40544796›Full record

ArticleVaccine2025

Seroprevalence of Immunoglobulin G against measles and rubella over a 12-year period (2009-2021) in Kilifi, Kenya and the impact of the Measles-Rubella (MR) vaccine campaign of 2016.

C N Mburu, J Ojal, R Selim, R Ombati, D Akech, B Karia, J Tuju, A Sigilai, G Smits, P G M van Gageldonk and 5 more

Abstract read
In one paragraph

Article in Vaccine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

15 authors.

C N MburuEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya; Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: mburucaroline@gmail.com.
J OjalEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
R SelimEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
R OmbatiEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
D AkechEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
B KariaEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
J TujuEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
A SigilaiEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
G SmitsDepartment of Immunosurveillance, Centre for Infectious Diseases Control, National Institute of Public Health and the Environment (RIVM), the Netherlands.
P G M van GageldonkDepartment of Immunosurveillance, Centre for Infectious Diseases Control, National Institute of Public Health and the Environment (RIVM), the Netherlands.
F R M van der KlisDepartment of Immunosurveillance, Centre for Infectious Diseases Control, National Institute of Public Health and the Environment (RIVM), the Netherlands.
S FlascheDepartment of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom; Charite Centre for global Health, Charite-Universitaetsmedizin, Berlin, Germany.
E W KaguciaEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
J A G ScottEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya; Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
I M O AdetifaEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya; Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasles and rubella have been targeted for elimination by the World Health Organization. Age-specific population immunity to measles and rubella is important to assess progress towards elimination but data are scarce. We conducted seroprevalence surveys to identify disease-specific population immunity profiles in children and adults in Kilifi.

methodsSera from cross-sectional surveys in the Kilifi Health Demographic Surveillance System (2009-2021) were analysed using a fluorescent bead-based multiplex immunoassay. Bayesian multilevel regression with post stratification was used to obtain seroprevalence estimates adjusted for the underlying population and assay performance. Associations between seropositivity and age, sex, location and ethnic group were assessed using a mixed effects logistic regression.

resultsMeasles-adjusted seroprevalence showed a significant increase from 88 % in 2009 to 93 % in 2021 (τ = 0.875, P = 0.01). Seropositivity was significantly higher in all age groups compared to those under 9 months. Seroprevalence among children ineligible for the first measles vaccine dose (MCV1) remained low (10-57 %), whereas MCV1-eligible children (9-17 months) had higher seroprevalence (68-91 %). Adult measles seroprevalence exceeded 96 %. Rubella seroprevalence followed a similar pattern, with adults above 88 %. Following the MR campaign, measles seroprevalence increased from 92 % to 96 % in eligible children, while rubella seroprevalence rose from 45 % to 82 %.

conclusionPopulation immunity for measles significantly increased over the 12-year period suggesting improvement in immunisation program performance. To reduce reliance on frequent SIAs, efforts should focus on optimizing both the timing and coverage of routine doses, particularly ensuring higher coverage of MCV2. The introduction of rubella vaccination has positively impacted immunity in children. Sustaining this immunity is essential to prevent potential gaps in older age groups, which could increase the risk of Congenital Rubella Syndrome (CRS) in infants.

Indexed as

Antibodies, ViralImmunoglobulin GMeaslesMeasles VaccineRubellaRubella VaccineAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesFemaleHumansImmunization ProgramsInfantAntibodies, ViralImmunoglobulin GMeasles VaccineRubella VaccineMeaslesPopulation immunityRubellaSeroepidemiologySerological dataSeroprevalence

Identifiers

PMID40544796
PMCPMC7619102

What OpenQuestion holds

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LicenceCC BY
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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.