Evidence map›Paper›PMID 41637385›Full record

ArticlePloS one2026

How does birth order influence full immunization coverage among children aged 12-23 months in India? evidence from the National Family Health Survey.

Tanmoy Ghosh, Puja Das, Apurba Sarkar, Pradip Chouhan

Abstract read
In one paragraph

Article in PloS one, 2026. 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

4 authors.

Tanmoy GhoshDepartment of Geography, University of Gour Banga, Malda, West Bengal, India.ORCID https://orcid.org/0000-0001-7101-4192
Puja DasDepartment of Geography, University of Gour Banga, Malda, West Bengal, India.ORCID https://orcid.org/0000-0002-8442-8594
Apurba SarkarNew Integrated Government School (NIGS), Habibpur, West Bengal, Sub-Ordinate Education Service (Group-A), School Education Department, Government of West Bengal, West Bengal, India.
Pradip ChouhanDepartment of Geography, University of Gour Banga, Malda, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the availability of free basic vaccination programmes, the disparity continues in immunization coverage among children aged 12-23 months in India, particularly with increasing birth orders. Using the data from the NFHS 5 (2019-21), the study seeks to investigate how birth order affects the likelihood of children's immunization aged 12-23 months in India. The analysis included a nationally representative sample of 43,436 children aged 12-23 months. Bivariate LISA and multilevel logistic regression models were performed to assess spatial and statistical patterns. The study found that spatial autocorrelation analysis indicated a positive association between 1st and 2nd birth orders and child full immunization coverage. However, the likelihood of full immunization declines significantly with increasing birth order [2nd (OR: 0.91); 3rd (OR: 0.74); 4th (OR: 0.64); 5th (OR: 0.56); 6 and more (OR: 0.41)]. Similarly, other socio-demographic covariates such as female children [AOR: 0.95], children who belong to Muslim families [AOR: 0.72], and resided in the northeastern part [AOR: 0.52] of India had a lower likelihood of being completely immunized. Therefore, the present study underscores the urgent need for targeted public health interventions that address both familial and structural barriers to immunization, specifically for mothers who have more than two children, to ensure that no child is left behind, regardless of their birth position within the family.

Indexed as

Birth OrderVaccination CoverageFemaleHealth SurveysHumansImmunizationImmunization ProgramsIndiaInfantMaleVaccination

Identifiers

PMID41637385
PMCPMC12871962

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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.