Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources of China, Shenzhen 518034, China.
Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China.
Int J Environ Res Public Health. 2019 Sep 2;16(17):3204. doi: 10.3390/ijerph16173204.
There is evidence of a strong correlation between inequality in health care access and disparities in chronic health conditions. Equal access to health care is an important indicator for overall population health, and the urban road network has a significant influence on the spatial distribution of urban service facilities. In this study, the network kernel density estimation was applied to detect the hot spots of health care service along the road network of Shenzhen, and we further explored the influences of population and road density on the aggregate intensity distributions at the community level, using spatial stratified heterogeneity analyses. Then, we measured the spatial clustering patterns of health care facilities in each of the ten districts of Shenzhen using the network K-function, and the interrelationships between health care facilities and hypertension patients. The results can be used to examine the reasonability of the existing health care system, which would be valuable for developing more effective prevention, control, and treatment of chronic health conditions. Further research should consider the influence of nonspatial factors on health care service access.
有证据表明，医疗保健机会不平等与慢性病状况差异之间存在很强的相关性。平等获得医疗保健是整体人口健康的一个重要指标，城市道路网络对城市服务设施的空间分布有重大影响。在这项研究中，应用网络核密度估计来检测深圳道路网络沿线医疗服务的热点，并进一步使用空间分层异质性分析，探讨人口和道路密度对社区层面综合强度分布的影响。然后，使用网络 K 函数测量深圳十个区的医疗设施的空间聚类模式，以及医疗设施与高血压患者之间的相互关系。研究结果可用于检验现有医疗保健系统的合理性，这对于制定更有效的慢性病预防、控制和治疗策略具有重要意义。进一步的研究应考虑非空间因素对医疗保健服务获取的影响。
