Observational studyEpidemiology and health2021
Spatiotemporal trends in diabetes-related mortality by school district in the state of Michigan, United States.
Observational study in Epidemiology and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Age-specific life expectancies across school districts in the United States: Applying a population weighted geographic crosswalk to aggregate census tract indicators.SSM - population health · 2026Article
- Asthma Hot Spots in New York Before and During the COVID-19 Pandemic.Preventing chronic disease · 2024Article
- Spatiotemporal Epidemiological Trends of Mpox in Mainland China: Spatiotemporal Ecological Comparison Study.JMIR public health and surveillance · 2024Article
- Spatiotemporal analyses of the epidemiological characteristics of diabetes mellitus.Epidemiology and health · 2021Article
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3 authors.
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Abstract
objectivesThis study examined the spatiotemporal epidemiological status of diabetes-related death in relation to school district boundaries in the state of Michigan, United States.
methodsA 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.
resultsThe 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.
conclusionsThe 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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