Geographical Detector-Based Spatial Modeling of the COVID-19 Mortality Rate in the Continental United States [PDF]
Investigating the spatial distribution patterns of disease and suspected determinants could help one to understand health risks. This study investigated the potential risk factors associated with COVID-19 mortality in the continental United States. We collected death cases of COVID-19 from 3108 counties from 23 January 2020 to 31 May 2020.
Han Yue, Tao Hu, Hu Tao
exaly +6 more sources
Attribution analysis of land degradation in Hainan Island based on geographical detector
Rapid and accurate surveys of land are essential for protecting ecosystems. This study aimed to survey the spatial–temporal land degradation patterns and explore its driving mechanism based on a geographical detector in Hainan Island from 2000 to 2020 ...
Wenyin Wu +6 more
doaj +5 more sources
Identification of Health Risks of Hand, Foot and Mouth Disease in China Using the Geographical Detector Technique [PDF]
Hand, foot and mouth disease (HFMD) is a common infectious disease, causing thousands of deaths among children in China over the past two decades. Environmental risk factors such as meteorological factors, population factors and economic factors may affect the incidence of HFMD.
Jinfeng Wang +2 more
exaly +7 more sources
Geographical detector-based risk assessment of the under-five mortality in the 2008 Wenchuan earthquake, China. [PDF]
On 12 May, 2008, a devastating earthquake registering 8.0 on the Richter scale occurred in Sichuan Province, China, taking tens of thousands of lives and destroying the homes of millions of people.
Yi Hu +4 more
doaj +6 more sources
Geographical Detector-based influence factors analysis for Echinococcosis prevalence in Tibet, China. [PDF]
Echinococcosis, caused by genus Echinococcus, is the most pathogenic zoonotic parasitic disease in the world. In Tibet of the People's Republic of China, echinococcosis refers principally to two types of severe zoonosis, cystic echinococcosis (CE) and ...
Tian Ma +11 more
doaj +4 more sources
Robust geographical detector [PDF]
Geographical detector (GD) is a method to measure spatial associations using a power of determinant (PD) value that compares the variance of data within spatial zones and in the whole study area. Recent studies have implemented GD in diverse fields, such as environmental and socio-economic issues.
Yongze Song, Peng Wu
exaly +4 more sources
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data [PDF]
Spatial heterogeneity represents a general characteristic of the inequitable distributions of spatial issues. The spatial stratified heterogeneity analysis investigates the heterogeneity among various strata of explanatory variables by comparing the ...
Yongze Song +3 more
doaj +3 more sources
As a unique phenomenon of soil erosion in the granite-red-soil hilly area of southern China, Benggang has seriously affected agricultural development and regional sustainable development. However, few studies have focused on the driving factors and their
Kaitao Liao +5 more
doaj +3 more sources
Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk. [PDF]
Arid and semi-arid areas in North China are facing the challenge of a rising aeolian desertification risk (ADR) due to the intertwined effects of complex natural processes and intensified anthropogenic activities. An accurate quantitative assessment of the relationship between ADR and its determinants is beneficial for understanding the driving ...
Du Z, Xu X, Zhang H, Wu Z, Liu Y.
europepmc +6 more sources
Environmental and social determinants of thyroid cancer: A spatial analysis based on the Geographical Detector. [PDF]
IntroductionThyroid cancer has increased sharply in China in recent years. This change may be attributable to multiple factors. The current study aimed to explore the environmental and social determinants of thyroid cancer.MethodsIncidence data from 487 cancer registries in 2016 were collected.
Huo S, Liu Y, Sun A, Zhang B.
europepmc +4 more sources

