TY - JOUR
T1 - Spatial-temporal analysis of cause-specific cardiovascular hospital admission in Beijing, China
AU - Amsalu, Endawoke
AU - Liu, Mengyang
AU - Li, Qihuan
AU - Wang, Xiaonan
AU - Tao, Lixin
AU - Liu, Xiangtong
AU - Luo, Yanxia
AU - Yang, Xinghua
AU - Zhang, Yingjie
AU - Li, Weimin
AU - Li, Xia
AU - Wang, Wei
AU - Guo, Xiuhua
N1 - Publisher Copyright:
© 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - CVD
KW - spatial
KW - spatial temporal
UR - http://www.scopus.com/inward/record.url?scp=85074371126&partnerID=8YFLogxK
U2 - 10.1080/09603123.2019.1677862
DO - 10.1080/09603123.2019.1677862
M3 - Article
C2 - 31621392
AN - SCOPUS:85074371126
SN - 0960-3123
VL - 31
SP - 595
EP - 606
JO - International Journal of Environmental Health Research
JF - International Journal of Environmental Health Research
IS - 6
ER -