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

Qingyun Du, Mingxiao Zhang, Yayan Li, Hui Luan, Shi Liang and Fu Ren
Additional contact information
Qingyun Du: School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Mingxiao Zhang: School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Yayan Li: School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Hui Luan: School of Planning, Faculty of Environment, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
Shi Liang: Shenzhen Prevention and Treatment Center for Occupational Diseases, Guiyuan Street North 70, Luohu District, Shenzhen 518001, China
Fu Ren: School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

IJERPH, 2016, vol. 13, issue 4, 1-14

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.

Keywords: ischemic heart disease (IHD); hypertension; Bayesian hierarchical model; multi-disease analysis; Shenzhen (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/13/4/436/pdf (application/pdf)
https://www.mdpi.com/1660-4601/13/4/436/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:13:y:2016:i:4:p:436-:d:68545

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().