Identifying key determinants of health among China’s migrant population using machine learning methods: Evidence from the china migrants dynamic survey

The overall health status of China's migrant population is relatively optimistic. However, their disadvantaged positions in areas such as education and income expose them to higher health risks. To address these key determinants, further improvements in health safeguards should focus on: developing stratified intervention strategies based on age structure differences; optimizing work environments and employment security; enhancing health literacy; and strengthening public health emergency management and social support systems.

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Publication Details

Journal
PLoS ONE
Published
2025-11-10
DOI
https://doi.org/10.1371/journal.pone.0335168
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying key determinants of health among China’s migrant population using machine learning methods: Evidence from the china migrants dynamic survey

Zhenlin Zhang, Li Wang, Bo Dong, Zhou Yuxin et al.
PLoS ONE
Healthcare Systems and Reforms
article

Identifying key determinants of health among China’s migrant population using machine learning methods: Evidence from the china migrants dynamic survey

Zhenlin Zhang, Li Wang, Bo Dong, Zhou Yuxin, Yiyu Wang
article en

Abstract

The overall health status of China's migrant population is relatively optimistic. However, their disadvantaged positions in areas such as education and income expose them to higher health risks. To address these key determinants, further improvements in health safeguards should focus on: developing stratified intervention strategies based on age structure differences; optimizing work environments and employment security; enhancing health literacy; and strengthening public health emergency management and social support systems.

PLoS ONEVol. 20(11)
Zhejiang Chinese Medical University (CN), Qilu University of Technology (CN), Ollscoil na Gaillimhe – University of Galway (IE), China Jiliang University (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 58%
Healthcare Systems and Reforms
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Identifying key determinants of health among China’s migrant population using machine learning methods: Evidence from the china migrants dynamic survey — Zhenlin Zhang, Li Wang, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS