Evidence map›Paper›PMID 40918614›Full record

ReviewDiscover viruses2025

A systematic review and modelling insights of factors impacting measles vaccine effectiveness, efficacy and immunogenicity.

Samiran Ghosh, Divya Kappara, Nabanita Majumder, Suchita Nath-Sain, Arup Deb Roy, Siuli Mukhopadhyay

Abstract readReview
In one paragraph

Review in Discover viruses, 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. Review
  2. Review
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

6 authors.

Samiran Ghosh *Department of Mathematics, Indian Institute of Technology, Bombay, Mumbai, Maharashtra 400076 India.
Divya Kappara *Department of Mathematics, Indian Institute of Technology, Bombay, Mumbai, Maharashtra 400076 India.
Nabanita Majumder *National Disease Modelling Consortium, Indian Institute of Technology, Bombay, Mumbai, 400076 Maharashtra India.
Suchita Nath-Sain *National Disease Modelling Consortium, Indian Institute of Technology, Bombay, Mumbai, 400076 Maharashtra India.
Arup Deb RoyJSI India, Nelson Mandela Marg, Vasant Kunj, New Delhi, 110070 India.
Siuli MukhopadhyayDepartment of Mathematics, Indian Institute of Technology, Bombay, Mumbai, Maharashtra 400076 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Outbreaks of measles have been frequently reported despite the availability of an effective vaccine. In this systematic review we examine the potential factors that could impact the effectiveness, efficacy and immunogenicity of the measles vaccine (MV) in children. Methods: We conducted a literature search using PubMed and Google Scholar for primary articles published between January 2010 and April 2025. Articles reporting the effectiveness, efficacy or immunogenicity of MV in children aged 0-15 years were included. Additionally, we use regression analysis on data available from few cohort studies in India and epidemiological modelling simulations to assess the effect of factors on vaccine effectiveness (VE), efficacy and immunogenicity. Results: Overall, 48 primary articles involving 172,464 children who had received the MV were included in the analysis. Key factors that may affect VE, efficacy and immunogenicity were malnutrition, genetic variants, chemotherapy and gender. Through statistical modelling we identified an inverse relationship between malnutrition and measles VE and estimated the possible percentage decrease in VE due to malnutrition across different states of India. Additionally, simulations from a Susceptible-Infected type model showed the effect of varying VE on the modelling outcomes and measles elimination targets. Conclusions: We identified a few key factors including malnutrition, genetic variants, chemotherapy and gender that impact measles VE, efficacy and immunogenicity. Therefore, in addition to maintaining WHO recommended vaccine coverages, addressing the problems related to vaccine performance, evaluated in terms of VE, efficacy and immunogenicity, is crucial for achieving measles elimination targets. Supplementary Information: The online version contains supplementary material available at 10.1007/s44370-025-00027-8.

Indexed as

EfficacyEpidemiological modellingImmunogenicityMalnutritionMeaslesSystematic reviewVaccine effectiveness

Identifiers

PMID40918614
PMCPMC12412780

What OpenQuestion holds

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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.