{Reference Type}: Review
{Title}: [Geographical and temporal weighted regression model and its application in epidemiology: a review].
{Author}: Wang Z;Liu L;Yang K;
{Journal}: Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
{Volume}: 35
{Issue}: 2
{Year}: 2022 Oct 20
暂无{DOI}: 10.16250/j.32.1374.2022086
{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.<BR>［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。.