Research progress on spatiotemporal clustering of disease
10.3760/cma.j.cn112338-20190806-00582
- VernacularTitle:疾病时空聚集分析的研究与进展
- Author:
Jingjing LIN
1
;
Tiewei ZHANG
;
Xiuyang LI
Author Information
1. 浙江大学流行病与卫生统计学系，杭州 310058
- Keywords:
Disease;
Clustering;
Spatiotemporal statistics
- From:
Chinese Journal of Epidemiology
2020;41(7):1165-1170
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, the research of spatiotemporal clustering of disease is attracting more and more attention, which plays an important role in understanding the temporal and spatial distribution characteristics of diseases, and can provide references for the etiology exploration and prevention and control of diseases. In order to better understand the research methods of spatiotemporal clustering of diseases and its application progress, this paper summarizes the statistical methods commonly used in relevant researches at demestic and abroad from three aspects of temporal clustering, spatial clustering and spatiotemporal clustering of diseases.
