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
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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
Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China. [PDF]
Abstract Background A remarkable drop in tuberculosis (TB) incidence has been achieved in China, although in 2019 it was still considered the second most communicable disease. However, TB’s spatial features and risk factors in urban areas remain poorly understood.
Ren H, Lu W, Li X, Shen H.
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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 +5 more sources
Spatiotemporal patterns and driving mechanisms of provincial road traffic accidents in China, 2016–2024 [PDF]
IntroductionRoad traffic accidents have become a major public health issue of global concern.MethodsDrawing on panel data from 31 provincial-level regions in China from 2016 to 2024, this study develops an evaluation framework comprising ten indicators ...
Jun Zhu, Rui Zheng, Zhizhuang Duan
doaj +2 more sources
Quantifying Spatiotemporal Dynamics of Vegetation and Its Differentiation Mechanism Based on Geographical Detector [PDF]
Abstract Understanding of the influence of factors on vegetation changes in different is still largely unknown. We have applied the Geographic Detector, a new spatial statistical method to study the interactive effects of factors on the spatial patterns of normalized vegetation index (NDVI) changes and determine the optimal characteristics of ...
Guangjie, Wang, Wenfu, Peng
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Resilience evaluation is an important foundation for sustainable rural development. Taking the 57 counties in Guangdong province as examples, this study used the CRITIC method to construct a comprehensive evaluation index system for rural resilience and identified the main influencing factors and their spatial heterogeneity on the basis of the ...
Wang, Huimin, Xu, Yihuan, Wei, Xiaojian
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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
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TIBETAN PLATEAU SNOW COVER VARYING WITH CLIMATE CHANGE: A REGIONAL CLIMATE PERSPECTIVE [PDF]
The Tibetan Plateau (TP) is experiencing dramatic climate changes, which increases the geographical hazard risks affecting human lives and properties.
Y. Feng +4 more
doaj +1 more source
Regional differences of hepatitis B discrimination in rural China
Background: Hepatitis B (HB) is the most serious and common viral hepatitis in China. Previous studies on HB discrimination mainly have focussed on stratified analysis, and there has been no consideration of the impact of geographical-environmental ...
Jun Li +4 more
doaj +1 more source

