title: Construction of a Seasonal Difference-Geographically and Temporally Weighted Regression (SD-GTWR) Model and Comparative Analysis with GWR-Based Models for Hemorrhagic Fever with Renal Syndrome (HFRS) in Hubei Province (China).
abstract: Hemorrhagic fever with renal syndrome (HFRS) is considered a globally distributed infectious disease which results in many deaths annually in Hubei Province, China. In order to conduct a better analysis and accurately predict HFRS incidence in Hubei Province, a new model named Seasonal Difference-Geographically and Temporally Weighted Regression (SD-GTWR) was constructed. The SD-GTWR model, which integrates the analysis and relationship of seasonal difference, spatial and temporal characteristics of HFRS (HFRS was characterized by spatiotemporal heterogeneity and it is seasonally distributed), was designed to illustrate the latent relationships between the spatio-temporal pattern of the HFRS epidemic and its influencing factors. Experiments from the study demonstrated that SD-GTWR model is superior to traditional models such as GWR- based models in terms of the efficiency and the ability of providing influencing factor analysis.
authors: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China. geliang0021@126.com.|Tianjin Institute of Surveying and Mapping, Tianjin 300381, China. geliang0021@126.com.
authors: Liang
authors: L
authors: Ge
authors: Business School of Hohai University, Nanjing 211100, China. sobzyl@hhu.edu.cn.
authors: Youlin
authors: Y
authors: Zhao
authors: Tianjin Institute of Surveying and Mapping, Tianjin 300381, China. geliang0022@126.com.
authors: Zhongjie
authors: Z
authors: Sheng
authors: First Crust Deformation Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China. kingning3344@126.com.
authors: Ning
authors: N
authors: Wang
authors: Tianjin Institute of Surveying and Mapping, Tianjin 300381, China. tjzk2@sina.com.
authors: Kui
authors: K
authors: Zhou
authors: School of Information Studies of University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA. mux@uwm.edu.
authors: Xiangming
authors: X
authors: Mu
authors: Tianjin Institute of Surveying and Mapping, Tianjin 300381, China. jon1117@sina.com.
authors: Liqiang
authors: L
authors: Guo
authors: Business School of Hohai University, Nanjing 211100, China. tengw8837@hhu.edu.cn.
authors: Teng
authors: T
authors: Wang
authors: State Key Laboratory of Virology, Institute of Medical Virology, School of Medicine, Wuhan University, Wuhan 430079, China. geliang0021@163.com.
authors: Zhanqiu
authors: Z
authors: Yang
authors: Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China. xixianghuo@163.com.
authors: Xixiang
authors: X
authors: Huo
mesh_terms: D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D006480:Hemorrhagic Fever with Renal Syndrome / Q000453:epidemiology* / Q000517:prevention & control; D006801:Humans; D015994:Incidence; D016014:Linear Models; D012621:Seasons; D062211:Spatio-Temporal Analysis
keywords: GTWR; GWR-based models; HFRS; SD-GTWR; spatiotemporal pattern