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Spatial-temporal analysis of cause-specific cardiovascular hospital admission in Beijing, China
Endawoke Amsalu1,2, Mengyang Liu1,2, Qihuan Li1,2
1Department Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Insights
Cardiovascular disease (CVD) hospital admissions in Beijing show spatial clustering, particularly in ecological preservation areas. This study analyzed trends for specific CVDs like coronary heart disease (CHD), atrial fibrillation (AF), and heart failure (HF).
Area of Science:
- Public Health
- Epidemiology
- Spatial Analysis
Background:
- Cardiovascular disease (CVD) poses a significant public health challenge.
- Understanding spatial-temporal patterns of CVD admissions is crucial for targeted interventions.
Purpose of the Study:
- To investigate the spatial-temporal distribution of cause-specific CVD admissions in Beijing.
- To identify high-risk areas for CVD events.
Main Methods:
- Retrospective analysis of CVD admission data (2013-2017) at the district level.
- Utilized SaTScan, joint point regression, and spatial autocorrelation statistics (Global Moran's I, Anselin's local Moran's I).
- Examined total CVD, coronary heart disease (CHD), atrial fibrillation (AF), and heart failure (HF).
Main Results:
- A decreasing trend in hospital admissions was observed over the study period.
- Spatially clustered patterns were identified for CVD admissions, varying by cause.
- Significant clusters were found in ecological preservation zones, with specific districts identified for total CVD, CHD, AF, and HF.
Conclusions:
- Cause-specific CVD admissions exhibit a distinct spatial clustering.
- Ecological preservation areas emerged as particularly high-risk locations for CVD admissions.
- Findings highlight the need for geographically tailored public health strategies for CVD prevention and management.
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.
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