ArticleInternational journal of environmental research and public health2017
Exploring Determinants of Spatial Variations in the Dengue Fever Epidemic Using Geographically Weighted Regression Model: A Case Study in the Joint Guangzhou-Foshan Area, China, 2014.
Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A Systematic Review on Modeling Methods and Influential Factors for Mapping Dengue-Related Risk in Urban Settings.International journal of environmental research and public health · 2022Pooled it
- Land use and land cover change and its impacts on dengue dynamics in China: A systematic review.PLoS neglected tropical diseases · 2021Pooled it
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- The Impact of Extreme Weather on Dengue Fever in Guangzhou, China: A Zero-Inflated Negative Binomial Spatial Lag Analysis.GeoHealth · 2025Article
- Understanding local determinants of dengue: a geographically weighted panel regression approach in Yogyakarta, Indonesia.Tropical medicine and health · 2025Article
- Association between greenspace morphology and dengue fever in China.Parasites & vectors · 2025Article
- Influences of Differentiated Residence and Workplace Location on the Identification of Spatiotemporal Patterns of Dengue Epidemics: A Case Study in Guangzhou, China.International journal of environmental research and public health · 2022Article
- Association between socio-environmental factors, coverage by family health teams, and rainfall in the spatial distribution of Zika virus infection in the city of Rio de Janeiro, Brazil, in 2015 and 2016.BMC public health · 2021Article
- Article
- From importation to autochthonous transmission: Drivers of chikungunya and dengue emergence in a temperate area.PLoS neglected tropical diseases · 2020Article
- Spatio-Temporal Patterns of the 2019-nCoV Epidemic at the County Level in Hubei Province, China.International journal of environmental research and public health · 2020Article
- Determination of Factors Affecting Dengue Occurrence in Representative Areas of China: A Principal Component Regression Analysis.Frontiers in public health · 2020Article
- Neglected Urban Villages in Current Vector Surveillance System: Evidences in Guangzhou, China.International journal of environmental research and public health · 2019Article
- Examining the Effect of the Environment and Commuting Flow from/to Epidemic Areas on the Spread of Dengue Fever.International journal of environmental research and public health · 2019Article
- Spatiotemporal Transmission Patterns and Determinants of Dengue Fever: A Case Study of Guangzhou, China.International journal of environmental research and public health · 2019Article
- Spatiotemporal analysis of the dengue outbreak in Guangdong Province, China.BMC infectious diseases · 2019Article
- Urban villages as transfer stations for dengue fever epidemic: A case study in the Guangzhou, China.PLoS neglected tropical diseases · 2019Article
- Spatiotemporal characteristics and primary influencing factors of typical dengue fever epidemics in China.Infectious diseases of poverty · 2019Article
- Modeling the spatially varying risk factors of dengue fever in Jhapa district, Nepal, using the semi-parametric geographically weighted regression model.International journal of biometeorology · 2018Article
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5 authors.
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Abstract
Dengue fever (DF) is a common and rapidly spreading vector-borne viral disease in tropical and subtropical regions. In recent years, this imported disease has posed an increasing threat to public health in China, especially in many southern cities. Although the severity of DF outbreaks in these cities is generally associated with known risk factors at various administrative levels, spatial heterogeneities of these associations remain little understood on a finer scale. In this study, the neighboring Guangzhou and Foshan (GF) cities were considered as a joint area for characterizing the spatial variations in the 2014 DF epidemic at various grid levels from 1 × 1 km² to 6 × 6 km². On an appropriate scale, geographically weighted regression (GWR) models were employed to interpret the influences of socioeconomic and environmental factors on this epidemic across the GF area. DF transmissions in Guangzhou and Foshan cities presented synchronous temporal changes and spatial expansions during the main epidemic months. Across the GF area, this epidemic was obviously spatially featured at various grid levels, especially on the 2 × 2 km² scale. Its spatial variations were relatively sufficiently explained by population size, road density, and economic status integrated in the GWR model with the lowest Akaike Information Criterion (AICc = 5227.97) and highest adjusted R square (0.732) values. These results indicated that these three socioeconomic factors acted as geographical determinants of spatial variability of the 2014 DF epidemic across the joint GF area, although some other potential factors should be added to improve the explaining the spatial variations in the central zones. This work improves our understanding of the effects of socioeconomic conditions on the spatial variations in this epidemic and helps local hygienic authorities to make targeted joint interventions for preventing and controlling this epidemic across the GF area.
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