Spatial-temporal analysis of cause-specific cardiovascular hospital admission in Beijing, China

Endawoke Amsalu, Mengyang Liu, Qihuan Li, Xiaonan Wang, Lixin Tao, Xiangtong Liu, Yanxia Luo, Xinghua Yang, Yingjie Zhang, Weimin Li, Xia Li, Wei Wang, Xiuhua Guo

Research output: Contribution to journalArticlepeer-review

Abstract

Background: The main aim of this study was to explore the spatial-temporal patterns of cause-specific CVD admission in Beijing using retrospective SaTScan analysis. Methods: A spatial-temporal analysis was conducted at the district level based on the rates of total and cause-specific CVD admissions, including coronary heart disease (CHD), atrial fibrillation (AF), and heart failure (HF) from 2013 to 2017. We used joint point regression, Global Moran’s I and Anselin’s local Moran’s I, together with Kulldorff’s scan statistic. Results: Hospital admission trend decreased during the study period. Admission rates followed a spatially clustered pattern with differences occurring between cause-specific CVDs. Clusters were mainly identified in ecological preservation areas, with a more likely cluster found in Daxing, Fangshan, Xicheng district for total CVD, CHD, AF and HF, respectively. Conclusions: Hospital admission of cause-specific CVD showed spatial clustered pattern, especially in ecological preservation areas.

Original languageEnglish
Pages (from-to)595-606
Number of pages12
JournalInternational Journal of Environmental Health Research
Volume31
Issue number6
DOIs
Publication statusPublished - 2021
Externally publishedYes

Keywords

  • CVD
  • spatial
  • spatial temporal

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