-
Spatiotemporal analyses of the epidemiological characteristics of diabetes mellitus
-
Sang Youl Rhee
-
Epidemiol Health. 2021;43:e2021102. Published online December 16, 2021
-
DOI: https://doi.org/10.4178/epih.e2021102
-
-
8,845
View
-
134
Download
-
1
Web of Science
-
1
Crossref
-
 Abstract
Summary
 PDF
-
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.
-
Summary
Korean summary
1. 시공간 분석은 국가 혹은 지역의 질병 빈도, 특징 및 시간 흐름의 패턴을 효과적으로 설명할 수 있다.
2. 시공간 분석은 질병의 예방 또는 중재 전략 개발에 도움이 될 수 있다.
Key Message
1. Spatiotemporal analyses can effectively illustrate patterns in disease frequency, features, and temporal flow in different parts of a country.
2. Spatiotemporal analysis can aid in disease prevention or development of intervention strategies.
-
Citations
Citations to this article as recorded by  - Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019
Ying Peng, Peng Wang, De-guang Kong, Wen-zhen Li, Dong-ming Wang, Li Cai, Sha Lu, Bin Yu, Bang-hua Chen, Pu-Lin Liu
Epidemiology and Infection.2023;[Epub] CrossRef
|
KSE
