Evidence map›Paper›PMID 42319746›Full record

ArticleIndian journal of pediatrics2026

Current Trends in Child Mortality in India: A Spatial, Survival and Regression Analysis.

Pushpa Devi, Kishori Lal Bansal

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Article in Indian journal of 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

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Pushpa DeviDepartment of Computer Science, Himachal Pradesh University, Shimla, 171005, India. pushpasuryavanshi0@gmail.com.ORCID http://orcid.org/0009-0000-7854-5412
Kishori Lal BansalDepartment of Computer Science, Himachal Pradesh University, Shimla, 171005, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the multi-dimensional determinants of child mortality in India, focusing on subnational burden, socioeconomic inequalities, maternal care, and environmental factors.

methodsAge-specific mortality indicators were estimated at the state and district levels using normalised survey weights. Under-Five Mortality (U5M) determinants were evaluated using Logistic Regression (LR) and the Cox Proportional Hazard (CPH) model, incorporating the complex survey design to characterise mortality risk over time.

resultsThe highest mortality burden is concentrated in socioeconomically deprived regions. Maternal age, education, higher birth order, low birth weight or size, place of delivery, and multiple births were crucially associated with higher mortality. The Survival and Regression (SAR) model findings demonstrate that maternal healthcare utilisation, continuity of antenatal and intrapartum care, early postnatal practices, and overall socio-demographic factors remained as independent predictors.

conclusionsEnhancing maternal and neonatal care, accessible and quality healthcare, improving household conditions, and prioritising high-burden and high-risk states and districts are crucial to achieve Sustainable Development Goal (SDG 3.2). This analysis provides a robust and scalable analytical framework for determining child mortality disparities. It provides evidence-based recommendations for precisely targeted interventions and policy implications to reduce child mortality.

Indexed as

Child MortalityChild, PreschoolFemaleHumansIndiaInfantInfant MortalityInfant, NewbornRegression AnalysisSocioeconomic Disparities in HealthSocioeconomic FactorsSurvival AnalysisChild mortalityDHSIndiaRegressionSurvival analysis

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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.