Geospatial modelling of COVID19 mortality in Oman using geographically weighted Poisson regression GWPR [PDF]
Scientific ReportsThe year 2020 witnessed the arrival of the global COVID-19 pandemic, which became the most devastating public health disaster in the last decade. Understanding the underlying spatial variations of the consequences of the pandemic, particularly mortality,
Shawky Mansour +2 more
exaly +4 more sources
Land, 2023 Transportation infrastructure plays an important role in tourism, and the spatial econometric model (GWPR) can offer quantitative support for regionalized development policies in transportation infrastructure.
Ping Yin, Bingjie Niu
exaly +4 more sources
Analyzing the mahakam river water quality using the geographically weighted panel regression model [PDF]
MethodsXThis study discusses the geographically weighted panel regression (GWPR) model. GWPR is an extension of geographically weighted regression model, designed for spatially heterogeneous panel data.
Zabrina Nathania Fauziyah +4 more
doaj +2 more sources
The effect of sociodemographic factors on COVID-19 incidence of 342 cities in China: a geographically weighted regression model analysis [PDF]
BMC Infectious Diseases, 2021 Background Since December 2019, the coronavirus disease 2019 (COVID-19) has spread quickly among the population and brought a severe global impact. However, considerable geographical disparities in the distribution of COVID-19 incidence existed among ...
Huihui Zhang +5 more
doaj +2 more sources
Using geographically weighted Poisson regression to examine the association between socioeconomic factors and hysterectomy incidence in Wallonia, Belgium [PDF]
BMC Women's Health, 2021 Background Various studies have investigated geographical variations in the incidence of hysterectomy in Western countries and analyzed socioeconomic factors to explain those variations.
Aline Poliart +5 more
doaj +2 more sources
Determination of the best geographic weighted function and estimation of spatio temporal model – Geographically weighted panel regression using weighted least square [PDF]
MethodsXThis study proposes the development of a spatio-temporal model with geographic weights containing elements of location, time and the correlation between the two. The spatio-temporal model is a spatial regression model that combines geographic information
Sifriyani +3 more
doaj +2 more sources
Investigating Spatial Patterns of Pulmonary Tuberculosis and Main Related Factors in Bandar Lampung, Indonesia Using Geographically Weighted Poisson Regression [PDF]
Tropical Medicine and Infectious Disease, 2022 Tuberculosis (TB) is a highly infectious disease, representing one of the major causes of death worldwide. Sustainable Development Goal 3.3 implies a serious decrease in the incidence of TB cases.
Helina Helmy +3 more
doaj +2 more sources
Spatial patterns and the associated factors for breast cancer hospitalization in the rural population of Fujian Province, China [PDF]
BMC Women's Health, 2023 Background Despite the known increasing incidence of breast cancer in China, evidence on the spatial pattern of hospitalization for breast cancer is scarce.
Mengjie Song +6 more
doaj +2 more sources
Modeling Spatial Effect in Residential Burglary: A Case Study from ZG City, China
ISPRS International Journal of Geo-Information, 2017 The relationship between burglary and socio-demographic factors has long been a hot topic in crime research. Spatial dependence and spatial heterogeneity are two issues to be addressed in modeling geographic data.
Song Guangwen, Suhong Zhou, Luzi Xiao
exaly +3 more sources
Understanding local determinants of dengue: a geographically weighted panel regression approach in Yogyakarta, Indonesia [PDF]
Tropical Medicine and HealthBackground Dengue remains a major public health concern in tropical regions, including Yogyakarta, Indonesia. Understanding its spatiotemporal patterns and determinants is crucial for effective prevention strategies.
Marko Ferdian Salim +2 more
doaj +2 more sources