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.
journal_name
Int J Environ Res Public Healthauthors
Ge L,Zhao Y,Sheng Z,Wang N,Zhou K,Mu X,Guo L,Wang T,Yang Z,Huo Xdoi
10.3390/ijerph13111062subject
Has Abstractpub_date
2016-10-29 00:00:00issue
11eissn
1661-7827issn
1660-4601pii
ijerph13111062journal_volume
13pub_type
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