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Int. J. Environ. Res. Public Health 2016, 13(4), 436; doi:10.3390/ijerph13040436

Spatial Patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian Multi-Disease Modelling Approach to Inform Health Planning Policies

1,2,3,4
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6,* and 1,2,3,*
1
School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
3
Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
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Collaborative Innovation Center of Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
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School of Planning, Faculty of Environment, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
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Shenzhen Prevention and Treatment Center for Occupational Diseases, Guiyuan Street North 70, Luohu District, Shenzhen 518001, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Received: 19 February 2016 / Revised: 31 March 2016 / Accepted: 13 April 2016 / Published: 20 April 2016
View Full-Text   |   Download PDF [2300 KB, uploaded 20 April 2016]   |  

Abstract

Incorporating the information of hypertension, this paper applies Bayesian multi-disease analysis to model the spatial patterns of Ischemic Heart Disease (IHD) risks. Patterns of harmful alcohol intake (HAI) and overweight/obesity are also modelled as they are common risk factors contributing to both IHD and hypertension. The hospitalization data of IHD and hypertension in 2012 were analyzed with three Bayesian multi-disease models at the sub-district level of Shenzhen. Results revealed that the IHD high-risk cluster shifted slightly north-eastward compared with the IHD Standardized Hospitalization Ratio (SHR). Spatial variations of overweight/obesity and HAI were found to contribute most to the IHD patterns. Identified patterns of IHD risk would benefit IHD integrated prevention. Spatial patterns of overweight/obesity and HAI could supplement the current disease surveillance system by providing information about small-area level risk factors, and thus benefit integrated prevention of related chronic diseases. Middle southern Shenzhen, where high risk of IHD, overweight/obesity, and HAI are present, should be prioritized for interventions, including alcohol control, innovative healthy diet toolkit distribution, insurance system revision, and community-based chronic disease intervention. Related health resource planning is also suggested to focus on these areas first. View Full-Text
Keywords: ischemic heart disease (IHD); hypertension; Bayesian hierarchical model; multi-disease analysis; Shenzhen ischemic heart disease (IHD); hypertension; Bayesian hierarchical model; multi-disease analysis; Shenzhen
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. (CC BY 4.0).

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MDPI and ACS Style

Du, Q.; Zhang, M.; Li, Y.; Luan, H.; Liang, S.; Ren, F. Spatial Patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian Multi-Disease Modelling Approach to Inform Health Planning Policies. Int. J. Environ. Res. Public Health 2016, 13, 436.

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