Int. J. Environ. Res. Public Health 2014, 11(1), 713-733; doi:10.3390/ijerph110100713
Article

Analysis of the Spatial Variation of Hospitalization Admissions for Hypertension Disease in Shenzhen, China

1,2email, 1,2,* email, 3,* email, 1,2email, 3email, 3email and 3email
Received: 14 October 2013; in revised form: 16 December 2013 / Accepted: 18 December 2013 / Published: 3 January 2014
(This article belongs to the Special Issue Spatial Epidemiology)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In China, awareness about hypertension, the treatment rate and the control rate are low compared to developed countries, even though China’s aging population has grown, especially in those areas with a high degree of urbanization. However, limited epidemiological studies have attempted to describe the spatial variation of the geo-referenced data on hypertension disease over an urban area of China. In this study, we applied hierarchical Bayesian models to explore the spatial heterogeneity of the relative risk for hypertension admissions throughout Shenzhen in 2011. The final model specification includes an intercept and spatial components (structured and unstructured). Although the road density could be used as a covariate in modeling, it is an indirect factor on the relative risk. In addition, spatial scan statistics and spatial analysis were utilized to identify the spatial pattern and to map the clusters. The results showed that the relative risk for hospital admission for hypertension has high-value clusters in the south and southeastern Shenzhen. This study aimed to identify some specific regions with high relative risk, and this information is useful for the health administrators. Further research should address more-detailed data collection and an explanation of the spatial patterns.
Keywords: hypertension; Hierarchical Bayesian models; spatial scan statistics; analysis scale; Shenzhen; urban China
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MDPI and ACS Style

Wang, Z.; Du, Q.; Liang, S.; Nie, K.; Lin, D.-N.; Chen, Y.; Li, J.-J. Analysis of the Spatial Variation of Hospitalization Admissions for Hypertension Disease in Shenzhen, China. Int. J. Environ. Res. Public Health 2014, 11, 713-733.

AMA Style

Wang Z, Du Q, Liang S, Nie K, Lin D-N, Chen Y, Li J-J. Analysis of the Spatial Variation of Hospitalization Admissions for Hypertension Disease in Shenzhen, China. International Journal of Environmental Research and Public Health. 2014; 11(1):713-733.

Chicago/Turabian Style

Wang, Zhensheng; Du, Qingyun; Liang, Shi; Nie, Ke; Lin, De-nan; Chen, Yan; Li, Jia-jia. 2014. "Analysis of the Spatial Variation of Hospitalization Admissions for Hypertension Disease in Shenzhen, China." Int. J. Environ. Res. Public Health 11, no. 1: 713-733.

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