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)

4Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

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 TemporallyWeighted 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.

Cite

CITATION STYLE

APA

Ge, L., Zhao, Y., Sheng, Z., Wang, N., Zhou, K., Mu, X., … Huo, X. (2016). 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). International Journal of Environmental Research and Public Health, 13(11). https://doi.org/10.3390/ijerph13111062

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free