Abstract Details
87 / 2019-09-15 21:33:13
Exploring spatial patterns of acute coronary event in Beijing during 2007-2012
acute coronary events,spatial patterns,Moran’s I,Hotspots
Abstract Accepted
Objectives: To explore the spatial patterns and identify the high-risk areas of incident acute coronary events (ACEs) at the township level in Beijing, China.
Methods: A total of 150557 incident ACEs were identified in the registered population of Beijing from 1 January 2007 to 31 December 2012 by the Beijing Monitoring System for Cardiovascular Diseases, which covers all hospital admissions and deaths from ACEs. All records were geocoded to the townships (n = 307) according to the residential address. Global Moran’s I was used to explore global spatial autocorrelation.
Results: Top quintile in the relative increase in ACE incidence from 2007 to 2012 were found in 80.3% of townships in outskirts,11.5% in suburbs, and 8.2% in urban. The values of Global Moran’s I ranged from 0.0791 to 0.2651 from 2007 to 2012 (P <0.05 for each year). Hotspots were primarily identified in suburbs from 2007 to 2009, while shifting to outskirts from 2010 to 2012 (figure 1).
Conclusion: The ACE incidence rates follow a spatially clustered pattern in Beijing. A substantial shift in the hotspot townships from the suburbs to the outskirts is observed. These findings may guide the exploration of determinants and policy-making in disease control and city planning.
Methods: A total of 150557 incident ACEs were identified in the registered population of Beijing from 1 January 2007 to 31 December 2012 by the Beijing Monitoring System for Cardiovascular Diseases, which covers all hospital admissions and deaths from ACEs. All records were geocoded to the townships (n = 307) according to the residential address. Global Moran’s I was used to explore global spatial autocorrelation.
Results: Top quintile in the relative increase in ACE incidence from 2007 to 2012 were found in 80.3% of townships in outskirts,11.5% in suburbs, and 8.2% in urban. The values of Global Moran’s I ranged from 0.0791 to 0.2651 from 2007 to 2012 (P <0.05 for each year). Hotspots were primarily identified in suburbs from 2007 to 2009, while shifting to outskirts from 2010 to 2012 (figure 1).
Conclusion: The ACE incidence rates follow a spatially clustered pattern in Beijing. A substantial shift in the hotspot townships from the suburbs to the outskirts is observed. These findings may guide the exploration of determinants and policy-making in disease control and city planning.
Important Date
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Conference Date
Dec 20
2019
toDec 22
2019
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Nov 15 2019
Draft Paper Acceptance Notification
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Dec 22 2019
Draft paper submission deadline
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Dec 22 2019
Registration deadline
Organized By
Xiangya School of Public Health
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