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)

Liang Ge, Youlin Zhao, Zhongjie Sheng, Ning Wang, Kui Zhou, Xiangming Mu, Liqiang Guo, Teng Wang, Zhanqiu Yang and Xixiang Huo
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Liang Ge: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Youlin Zhao: Business School of Hohai University, Nanjing 211100, China
Zhongjie Sheng: Tianjin Institute of Surveying and Mapping, Tianjin 300381, China
Ning Wang: First Crust Deformation Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China
Kui Zhou: Tianjin Institute of Surveying and Mapping, Tianjin 300381, China
Xiangming Mu: School of Information Studies of University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA
Liqiang Guo: Tianjin Institute of Surveying and Mapping, Tianjin 300381, China
Teng Wang: Business School of Hohai University, Nanjing 211100, China
Zhanqiu Yang: State Key Laboratory of Virology, Institute of Medical Virology, School of Medicine, Wuhan University, Wuhan 430079, China
Xixiang Huo: Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China

IJERPH, 2016, vol. 13, issue 11, 1-14

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.

Keywords: HFRS; GWR-based models; GTWR; SD-GTWR; spatiotemporal pattern (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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