Decoding the association between health level and human settlements environment: a machine learning-driven provincial analysis in China

This study provides robust evidence that the relationship between HSE and health is nonlinear, multidimensional, and highly interactive. Effective urban health governance requires coordinated development of urbanization, digital infrastructure, and public services, along with rational healthcare resource allocation. The findings offer actionable insights for health-oriented urban planning and policy formulation in rapidly urbanizing regions.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-09-03
DOI
https://doi.org/10.3389/fpubh.2025.1672479
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

Decoding the association between health level and human settlements environment: a machine learning-driven provincial analysis in China

Xiaoqing Peng, Hai‐Dong Zhu
Frontiers in Public Health
Health disparities and outcomes
article

Decoding the association between health level and human settlements environment: a machine learning-driven provincial analysis in China

Xiaoqing Peng, Hai‐Dong Zhu
article en

Abstract

This study provides robust evidence that the relationship between HSE and health is nonlinear, multidimensional, and highly interactive. Effective urban health governance requires coordinated development of urbanization, digital infrastructure, and public services, along with rational healthcare resource allocation. The findings offer actionable insights for health-oriented urban planning and policy formulation in rapidly urbanizing regions.

Frontiers in Public HealthVol. 13
City University of Hong Kong (HK)
City University of Hong Kong
Openalex Percentile: Top 71%
Health disparities and outcomes
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