ArticleInternational journal of environmental research and public health2016
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).
Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Epidemiological characteristics and spatiotemporal heterogeneity of hemorrhagic fever with renal syndrome in the Jiaodong Peninsula region, China, 2019-2025.Frontiers in public health · 2026Article
- Spatiotemporal trends and driving factors of gonorrhea incidence in China: a 20-year analysis (2003-2022).Frontiers in public health · 2025Article
- An analysis of rodent density patterns and its spatial-temporal correlations using geographically and temporally weighted regression in southeastern China.Frontiers in veterinary science · 2025Article
- Exploring the spatiotemporal effects of meteorological factors on hand, foot and mouth disease: a multiscale geographically and temporally weighted regression study.BMC public health · 2024Article
- Spatiotemporal distribution and meteorological factors of hemorrhagic fever with renal syndrome in Hubei province.PLoS neglected tropical diseases · 2024Article
- Factors affecting the incidence of pulmonary tuberculosis based on the GTWR model in China, 2004-2021.Epidemiology and infection · 2024Article
- Spatiotemporal variations and potential influencing factors of hemorrhagic fever with renal syndrome: A case study in Weihe Basin, China.PLoS neglected tropical diseases · 2023Article
- Urbanization-Related Environmental Factors and Hemorrhagic Fever with Renal Syndrome: A Review Based on Studies Taken in China.International journal of environmental research and public health · 2023Review
- Identifying the Determinants of Distribution ofPathogens (Basel, Switzerland) · 2022Article
- A Novel Predictor for Micro-Scale COVID-19 Risk Modeling: An Empirical Study from a Spatiotemporal Perspective.International journal of environmental research and public health · 2021Article
- Bayesian maximum entropy-based prediction of the spatiotemporal risk of schistosomiasis in Anhui Province, China.BMC infectious diseases · 2021Article
- Article
- Analyzing hemorrhagic fever with renal syndrome in Hubei Province, China: a space-time cube-based approach.The Journal of international medical research · 2019Article
- Article
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10 authors.
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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.
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