Shenzhen Health Development Research and Data Management Center, Shenzhen, Guangdong, China.
National Defense Technology Strategic Research Think Tank of National University of Defense Technology, Changsha, Hunan, China.
Front Public Health. 2024 Sep 3;12:1429143. doi: 10.3389/fpubh.2024.1429143. eCollection 2024.
To explore the inter-regional health index at the city level to contribute to the reduction of health inequalities.
Employed the health determinant model to select indicators for the urban health index of Shenzhen City. Utilized principal component analysis, the weights of these indicators are determined to construct the said health index. Subsequently, the global Moran's index and local Moran's index are utilized to investigate the geographical spatial distribution of the urban health index across various administrative districts within Shenzhen.
The level of urban health index in Shenzhen exhibits spatial clustering and demonstrates a positive spatial correlation (2017, Moran's = 0.237; 2019, Moran's = 0.226; 2021, Moran's = 0.217). However, it is noted that this clustering displays a relatively low probability (90% confidence interval). Over the period from 2017 to 2019, this spatial clustering gradually diminishes, suggesting a narrowing of health inequality within economically developed urban areas.
Our study reveals the urban health index in a relatively high-income (Shenzhen) in a developing country. Certain spatially correlated areas in Shenzhen present opportunities for the government to address health disparities through regional connectivity.
探索市级区域间健康指数，以减少健康不平等。
采用健康决定因素模型选择深圳市城市健康指数的指标。利用主成分分析确定这些指标的权重，构建健康指数。然后，利用全局 Moran 指数和局部 Moran 指数来研究深圳市各行政区城市健康指数的地理空间分布。
深圳的城市健康指数水平存在空间集聚，呈现正空间相关性（2017 年 Moran's=0.237；2019 年 Moran's=0.226；2021 年 Moran's=0.217）。然而，这种集聚的概率相对较低（90%置信区间）。2017 年至 2019 年期间，这种空间集聚逐渐减弱，表明经济发达城区的健康不平等程度有所缩小。
本研究揭示了发展中国家高收入（深圳）城市的健康指数。深圳存在一些空间相关的区域，为政府通过区域联系解决健康差距提供了机会。
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