Geographical and temporal weighted regression model and its application in epidemiology: a review
10.16250/j.32.1374.2022086
- VernacularTitle:时空地理加权回归模型及其在流行病学中的 应用研究进展
- Author:
Zhe WANG
1
;
Lu LIU
2
;
Kun YANG
3
Author Information
1. School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
2. National Health Commission Key Laboratory on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
3. School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; National Health Commission Key Laboratory on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
- Publication Type:Journal Article
- Keywords:
Geographically and temporally weighted regression;
Local regression;
Spatio-temporal heterogeneity;
Epidemiology
- From:
Chinese Journal of Schistosomiasis Control
2023;35(2):199-205
- CountryChina
- Language:Chinese
-
Abstract:
Geographical and temporal weighted regression (GTWR) model is a local regression linear model, which indirectly reflects the spatio-temporal non-stationary characteristics of the study data by calculating the trends for changes in parameters with space and time. Recently, GTWR model has become one of the hot topics in the study on spatio-temporal heterogeneity of diseases. This review summarizes the basic principles and study methods of the GTWR model, and describes the applications of this model in epidemiology.
