Evidence map›Paper›PMID 41981522›Full record

ArticleBMC pediatrics2026

Bridging the immunisation gap: socioeconomic and geographic drivers of pediatric immunisation disparities between different Indian states.

Yendouname Kandjoni, Samadou Tchakondo, Ayao Sangénis Assogba, Komi Selassi Gayi, Richard Sagacity Tugbeh, Kezia Angeline J, Gladius Jennifer Hirudayaraj

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Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yendouname KandjoniSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, Chennai, 603203, India. yk9597@srmist.edu.in.ORCID 0009-0008-7485-0223
Samadou TchakondoSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, Chennai, 603203, India.ORCID 0009-0006-6747-3170
Ayao Sangénis AssogbaSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, Chennai, 603203, India.ORCID 0009-0007-6505-2249
Komi Selassi GayiSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, Chennai, 603203, India.ORCID 0009-0006-3598-4224
Richard Sagacity TugbehSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, Chennai, 603203, India.ORCID 0009-0003-5806-5165
Kezia Angeline JSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, Chennai, 603203, India.
Gladius Jennifer HirudayarajSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, Chennai, 603203, India. galdiusj@srmist.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunising children saves 2–3 million lives every year, making it one of the most effective public health interventions. India’s childhood immunisation rates are steadily improving, but there are still significant differences between states. Tamil Nadu consistently has one of the highest rates of child immunisation, while Nagaland is below the national average. If we figure out the socioeconomic factors that contribute to this difference, we can guide context-specific strategies to improve coverage.

objectiveTo compare the level and socioeconomic and geographic determinants of full immunisation coverage among children aged 12–23 months in Tamil Nadu and Nagaland using data from the fifth National Family Health Survey (NFHS-5, 2019-21).

methodsA survey-weighted cross-sectional analysis was performed on 1851 children (Tamil Nadu: 1291; Nagaland: 560). To be fully immunised, a child had to receive BCG, three doses of DPT, three doses of OPV, and one dose of MCV. Weighted bivariate chi-square tests and multivariable logistic regression models were used to assess associations between full Immunisation and socioeconomic, demographic, and geographic characteristics. We performed sensitivity analysis by restricting to only children who possessed vaccination cards, to assess the robustness of our findings.

resultsImmunisation coverage was higher in Tamil Nadu (89.2%) than in Nagaland (57.9%). In bivariate analysis, maternal education was significantly associated with full Immunisation in both states, while wealth, residence, distance to health facility, and birth order were additionally significant in Nagaland, and residence and religion in Tamil Nadu.In multivariable analysis, maternal education remained the most consistent predictor in Nagaland (AOR=2.61; p=0.003) and Tamil Nadu (AOR=2.32; p=0.029). In Nagaland, distance to health facility was also significant (p=0.034), whereas in Tamil Nadu, urban residence (AOR=1.83; p=0.008) and religion (AOR=4.00; p=0.003) were associated with Immunisation status. Other variables were not significant after adjustment.

conclusionThe main factors for the differences in immunisation coverage between states are gaps in maternal education and access to healthcare. To increase vaccination coverage in states with lower coverage, it is crucial to enhance women's education, extend outreach to rural populations, and address socioeconomic barriers.

Indexed as

Healthcare DisparitiesVaccination CoverageCross-Sectional StudiesFemaleHumansIndiaInfantMaleSocioeconomic Disparities in HealthSocioeconomic FactorsGeographic driversHealth disparitiesImmunisationIndiaMaternal educationSocioeconomic determinants

Identifiers

PMID41981522
PMCPMC13202825

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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.