Evidence map›Paper›PMID 41372226›Full record

ArticleScientific reports2025

Decomposition of socioeconomic inequalities in zero-dose children aged 12-23 months in India.

Mriganka Dolui, Sanjit Sarkar, Anupkumar Chambhare, Sameer Kumar Jena, Nawazish Hasan Kazmi

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mriganka DoluiDepartment of Geography, Central University of Karnataka, Kalaburagi, Karnataka, 585311, India. mriganka.dolui@gmail.com.ORCID 0000-0001-7568-0299
Sanjit SarkarDepartment of Geography, Central University of Karnataka, Kalaburagi, Karnataka, 585311, India. sanjitiips@gmail.com.ORCID 0000-0001-5906-3098
Anupkumar ChambhareImmunization and surveillance, WHO Office, Namsai, Arunachal Pradesh, India.ORCID 0009-0006-0819-8295
Sameer Kumar JenaDepartment of Population Studies, Fakir Mohan University, Balasore, Odisha, 756089, India.ORCID 0000-0002-2662-9590
Nawazish Hasan KazmiTata Institute of Social Sciences, Hyderabad, Telangana, 501510, India.ORCID 0009-0005-7899-9066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children who do not receive the preliminary dose of the DTP-containing vaccine are likely to be known as zero-dose, occurring due to limited access to healthcare services and several sociodemographic patterns. In India, 6.67% points (pp) of children remain zero-dose, and a significant inequality exists due to socioeconomic factors. Therefore, this study measures the magnitude of the socioeconomic gap and quantifies the key determinants that contribute to the zero-dose inequality using the National Family Health Survey fifth round (NFHS-5) data. A cross-sectional sampling data of 41,132 children aged 12-23 months was considered to employ several descriptive statistics, including a chi-squared test. We utilized the Wagstaff concentration curve (WCC) and concentration index (WCI) to represent the zero-dose inequality. Afterwards, WCI was decomposed to determine the major contributing factors to the socioeconomic gap in zero-dose. The overall prevalence of zero-dose children was 6.67 pp, and a socioeconomic gap in zero-dose by the household wealth index was 3.68 pp between the poorest and the richest. The WCI value for zero-dose due to the wealth index was - 0.12 (p < 0.001), revealed 25.15% of the inequality was contributed by the wealth index, 12.48% by maternal education, 11.57% by media exposure, 10.74% by antenatal care (ANC) visits, and 10.05% by place of children's delivery. To reduce zero-dose among children, multi-dimensional interventions and strategies are needed to address not only economic deprivation but also disparities in maternal health education, access to healthcare, and informational reach. While wealth-related inequality is evident, the wealth index captures broader household assets and living conditions beyond income. Similarly, media exposure may reflect extended access to health-related knowledge, including immunization. Strengthening maternal education, improving ANC coverage, enhancing service delivery, and outreach in underserved areas are crucial steps toward equitable immunization coverage.

Indexed as

Diphtheria-Tetanus-Pertussis VaccineHealthcare DisparitiesSocioeconomic FactorsVaccinationCross-Sectional StudiesFemaleHealth Services AccessibilityHumansIndiaInfantMaleDiphtheria-Tetanus-Pertussis VaccineAnd indiaConcentration indexMaternal educationSocioeconomic inequalityWagstaff decompositionZero-dose

Identifiers

PMID41372226
PMCPMC12696019

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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.