Predictors of childhood vaccination uptake in England: an explainable machine learning analysis of regional data (2021–2024)

The findings suggest that vaccination disparities in England are primarily driven by geographic, demographic, and cultural rather than socioeconomic factors. The application of explainable machine learning methods offers actionable insights for public health planning, particularly for identifying and supporting vulnerable communities. The datasets collected and used in this study are available at https://github.com/AminNoroozi/.

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Publication Details

Journal
Vaccine
Published
2025-10-28
DOI
https://doi.org/10.1016/j.vaccine.2025.127902
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictors of childhood vaccination uptake in England: an explainable machine learning analysis of regional data (2021–2024)

Amin Noroozi, Sidratul Muntaha Esha, Mansoureh Ghari
Vaccine
Vaccine Coverage and Hesitancy
article

Predictors of childhood vaccination uptake in England: an explainable machine learning analysis of regional data (2021–2024)

Amin Noroozi, Sidratul Muntaha Esha, Mansoureh Ghari
article en

Abstract

The findings suggest that vaccination disparities in England are primarily driven by geographic, demographic, and cultural rather than socioeconomic factors. The application of explainable machine learning methods offers actionable insights for public health planning, particularly for identifying and supporting vulnerable communities. The datasets collected and used in this study are available at https://github.com/AminNoroozi/.

VaccineVol. 68
University of Wolverhampton (GB)
Openalex Percentile: Top 61%
Vaccine Coverage and Hesitancy
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