Chinese Journal of Schistosomiasis Control ›› 2023, Vol. 35 ›› Issue (2): 199-.

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Geographical and temporal weighted regression model and its application in epidemiology: A review

WANG Zhe1, LIU Lu2, YANG Kun1, 2*   

  1. 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
  • Online:2023-04-15 Published:2023-05-19


王喆1,刘璐2,杨坤1, 2*   

  1. 1 南京医科大学公共卫生学院(江苏 南京 211166);2 国家卫生健康委员会寄生虫病预防和控制技术重点实验室、江苏省寄生虫与媒介控制技术重点实验室、江苏省血吸虫病防治研究所(江苏 无锡 214064)
  • 作者简介:王喆,男,硕士研究生。研究方向:空间流行病学
  • 基金资助:

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.

Key words: Geographically and temporally weighted regression, Local regression, Spatio?temporal heterogeneity, Epidemiology

摘要: 时空地理加权回归(geographical and temporal weighted regression,GTWR)模型是一种局部回归线性模型,通过推算参数随空间和时间变化的趋势间接反映研究数据的时空非平稳性特征。近年来,GTWR模型已成为研究疾病时空异质性的热点之一。本文综述了GTWR模型基本原理和研究方法,同时梳理了该模型在流行病学中的应用。

关键词: 时空地理加权回归, 局部回归, 时空异质性, 流行病学

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