Using Geographically Weighted Regression (GWR) to Explore Spatial Varying Relationships of Immature Mosquitoes and Human Densities with the Incidence of Dengue

International Journal of Environmental Research and Public Health

Chia-Hsien Lin¹ 

[1] Department of Geography, College of Science, National Taiwan University, Taipei 106, Taiwan; E-Mail

关键词: dengue;    spatial heterogeneity;    geographically weighted regression (GWR);    human density;    Aedes mosquitoes;   

DOI  :  10.3390/ijerph8072798

来源: mdpi

【 摘 要 】

The only way for dengue to spread in the human population is through the human-mosquito-human cycle. Most research in this field discusses the dengue-mosquito or dengue-human relationships over a particular study area, but few have explored the local spatial variations of dengue-mosquito and dengue-human relationships within a study area. This study examined whether spatial heterogeneity exists in these relationships. We used Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models to analyze spatial relationships and identify the geographical heterogeneities by using the information of entomology and dengue cases in the cities of Kaohsiung and Fengshan in 2002. Our findings indicate that dengue-mosquito and dengue-human relationships were significantly spatially non-stationary. This means that in some areas higher dengue incidences were associated with higher vector/host densities, but in some areas higher incidences were related to lower vector/host densities. We demonstrated that a GWR model can be used to geographically differentiate the relationships of dengue incidence with immature mosquito and human densities. This study provides more insights into spatial targeting of intervention and control programs against dengue outbreaks within the study areas.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland