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Spatiotemporal analyses of the Epidemiologic characteristics of Diabetes Mellitus

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초록

Research based on spatiotemporal analysis has been conducted to identify various factors that can affect an individual’s or community’s degree of health and disease. These spatiotemporal studies can effectively illustrate patterns in disease frequency, features, and temporal flow in different parts of a country. Furthermore, identifying these regional characteristics can aid in the development of disease prevention or intervention strategies.

Abstract

Research based on spatiotemporal analysis has been conducted to identify various factors that can affect an individual’s or community’s degree of health and disease. These spatiotemporal studies can effectively illustrate patterns in disease frequency, features, and temporal flow in different parts of a country. Furthermore, identifying these regional characteristics can aid in the development of disease prevention or intervention strategies.

참고문헌 (10)

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  2. Byun Han Geul, "A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea", 예방의학회지, 54(5), pp.301~308 (2021), 대한예방의학회[DOI]
  3. Nurjannah Nurjannah, "Spatiotemporal trends in diabetes-related mortality by school district in the state of Michigan", Epidemiology and Health, 43, pp.1~12 (2021), 한국역학회[DOI]
  4. Grubesic TH, "Geospatial and geodemographic insights for diabetes in the United States", Appl Geogr, 55, pp.117~126 (2014)
  5. Dijkstra A, "Using spatial analysis to predict health care use at the local level : a case study of type 2 diabetes medication use and its association with demograpHic change and socioeconomic status", PloS One, 8, pp.e72730~ (2013)
  6. Bocquier A, "Prevalence of treated diabetes : geographical variations at the small-area level and their association with area-level characteristics. A multilevel analysis in Southeastern France", Diabetes Metab, 37, pp.39~46 (2011)
  7. 김유미, "당뇨병 유병률의 지역 간 변이 요인", 보건사회연구, 34(3), pp.82~105 (2014), 한국보건사회연구원[DOI]
  8. 오원섭, "2012년 전국 지역사회 건강조사 자료를 이용한 시·군·구 단위 질병유병률의 공간 자기상관도에 관한 연구", 한국측량학회지, 34(3), pp.253~262 (2016), 한국측량학회[DOI]
  9. 정찬희, "Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status", Diabetes and Metabolism Journal, 45(1), pp.1~10 (2021), 대한당뇨병학회[DOI]
  10. Kim YE, "Trends and patterns of burden of disease and injuries in Korea using disability-adjusted life years", J Korean Med Sci, 34(Suppl 1), pp.e75~ (2019)

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