Spatial-temporal distribution and evolution of medical and health talents in China

From a temporal perspective, the overall number of MHT in China has been increasing annually at the national and provincial levels. From the spatial perspective, TAD, TAS, TAI, and TAE exhibit significant differences among the three regions. Kernel analysis reveals that the distribution differences are gradually expanding in national level and varying in regional level. Moreover, the global and local Moran's I indices reveal varying spatial autocorrelation for TAD, TAS, TAI, and TAE. The Dagum Gini coefficients of TAD, TAS, TAI, and TAE show different patterns of decomposition.

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Publication Details

Journal
BMC Public Health
Published
2025-01-10
DOI
https://doi.org/10.1186/s12889-025-21324-3
Citations
4
Primary Topic
Global Health Care Issues
Type
article
Field-Weighted Citation Impact
11.26

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Spatial-temporal distribution and evolution of medical and health talents in China

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4 citations
BMC Public Health
Global Health Care Issues
11.26
article

Spatial-temporal distribution and evolution of medical and health talents in China

Lei Zhang, Jie Tang, Dayong Zhang, Qianqian Zhou, Yu Song
article en
4 citations

Abstract

From a temporal perspective, the overall number of MHT in China has been increasing annually at the national and provincial levels. From the spatial perspective, TAD, TAS, TAI, and TAE exhibit significant differences among the three regions. Kernel analysis reveals that the distribution differences are gradually expanding in national level and varying in regional level. Moreover, the global and local Moran's I indices reveal varying spatial autocorrelation for TAD, TAS, TAI, and TAE. The Dagum Gini coefficients of TAD, TAS, TAI, and TAE show different patterns of decomposition.

BMC Public HealthVol. 25(1)
Zhejiang Sci-Tech University (CN), Wenzhou Medical University (CN), Zhejiang Taizhou Hospital (CN), Hangzhou City University, Xi’an Jiaotong-Liverpool University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 2%
Global Health Care Issues
11.26
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