Evidence map›Paper›PMID 40566367›Full record

ArticleInternational journal of environmental research and public health2025

Construction of Development Scores to Analyze Inequalities in Childhood Immunization Coverage: A Global Analysis from 2000 to 2021.

Andrea Maugeri, Martina Barchitta, Syed Muhammad Zaffar, Antonella Agodi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. 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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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

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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

4 authors.

Andrea MaugeriDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via S. Sofia 87, 95123 Catania, Italy.ORCID 0000-0003-2655-8574
Martina BarchittaDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via S. Sofia 87, 95123 Catania, Italy.ORCID 0000-0002-0905-5003
Syed Muhammad ZaffarDepartment of Economics and Business, University of Catania, Corso Italia 55, 95129 Catania, Italy.ORCID 0009-0008-7694-5074
Antonella AgodiDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via S. Sofia 87, 95123 Catania, Italy.ORCID 0000-0002-4405-8162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunization coverage is a key public health indicator reflecting healthcare accessibility and socio-economic conditions. This study employs Principal Component Analysis (PCA) to construct composite development scores and analyze their relationship with immunization coverage for measles and diphtheria-tetanus-pertussis (DTP) vaccines across 195 countries (2000-2021). The analysis comprises a training period (2000-2015) for score development and a test period (2016-2021) for validation. Variables were selected based on correlation with immunization coverage and standardized before PCA extraction. PC1, the principal component explaining the largest variance, was identified as a key indicator of development disparities. Findings reveal that higher PC1 scores (lower socio-economic development) are associated with reduced immunization rates, while lower PC1 scores (higher socio-economic development) correspond to greater coverage, a trend consistent across both periods. Geospatial analysis highlights stark disparities, particularly in sub-Saharan Africa and South Asia, whereas North America, Europe, and East Asia maintain significantly higher coverage. These results provide policy-relevant insights, demonstrating the utility of PCA-derived scores for resource allocation and targeted interventions.

Indexed as

Diphtheria-Tetanus-Pertussis VaccineGlobal HealthHealthcare DisparitiesVaccination CoverageChildChild, PreschoolHumansInfantPrincipal Component AnalysisSocioeconomic FactorsDiphtheria-Tetanus-Pertussis Vaccinechildhooddevelopmentimmunizationsocio-economic factorsvaccine

Identifiers

PMID40566367
PMCPMC12192662

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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.