KMID : 1038520210430010098
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Epidemiology and Health 2021 Volume.43 No. 1 p.98 ~ p.98
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Spatiotemporal trends in diabetes-related mortality by school district in the state of Michigan, United States
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Nurjannah Nurjannah
Baker Kathleen M. Mashinini Duduzile Phindi
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Abstract
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OBJECTIVES: This study examined the spatiotemporal epidemiological status of diabetes-related death in relation to school district boundaries in the state of Michigan, United States.
METHODS: A retrospective observational study was conducted using death records spanning the years 2007-2014 in Michigan, with school districts as the geographic unit of analysis. Geocoding was performed for each death record. Cluster analysis used spatial autocorrelation with local Moran¡¯s I, and spatiotemporal analysis used the Space Time Pattern Mining tool in ArcGIS Pro 2.1.
RESULTS: The study revealed spatial clusters of high-high locations of diabetes-related mortality rate by school district in Michigan from 2007 to 2014. Spatiotemporal analysis showed grids with intensifying, consecutive, sporadic, and persistent hotspots of diabetes-related death in the Lansing, Royal Oak, Flint City, Berkley, Detroit City, East Lansing, South Lake, and Holt public school districts. These school districts should be prioritized for school-based diabetes prevention programs
CONCLUSIONS: The study demonstrated the presence of various hotspots of diabetes-related deaths within the state of Michigan across the 8-year period of analysis. Understanding spatial and temporal hotspots could further improve our ability to evaluate diabetes burden across both time and space.
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KEYWORD
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Diabetes mortality, Spatiotemporal analysis, Geographic information systems, Michigan, School district
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