Cargando…
Using Geographically Weighted Regression (GWR) to Explore Spatial Varying Relationships of Immature Mosquitoes and Human Densities with the Incidence of Dengue
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-...
Autores principales: | Lin, Chia-Hsien, Wen, Tzai-Hung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3155330/ https://www.ncbi.nlm.nih.gov/pubmed/21845159 http://dx.doi.org/10.3390/ijerph8072798 |
Ejemplares similares
-
Exploration of spatial-temporal varying impacts on COVID-19 cumulative case in Texas using geographically weighted regression (GWR)
por: Wu, Xiu, et al.
Publicado: (2021) -
Spatially Adjusted Time-varying Reproductive Numbers: Understanding the Geographical Expansion of Urban Dengue Outbreaks
por: Ng, Ta-Chou, et al.
Publicado: (2019) -
Quantifying the spatial nonstationary response of influencing factors on ecosystem health based on the geographical weighted regression (GWR) model: an example in Inner Mongolia, China, from 1995 to 2020
por: Na, Li, et al.
Publicado: (2023) -
Integration of Moran’s I, geographically weighted regression (GWR), and ordinary least square (OLS) models in spatiotemporal modeling of COVID-19 outbreak in Qom and Mazandaran Provinces, Iran
por: Isazade, Vahid, et al.
Publicado: (2023) -
Ground Level PM(2.5) Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO(2) and Enhanced Vegetation Index (EVI)
por: Zhang, Tianhao, et al.
Publicado: (2016)