Targeting the spatial context of obesity determinants via multiscale geographically weighted regression
Background Obesity rates are recognized to be at epidemic levels throughout much of the
world, posing significant threats to both the health and financial security of many nations …
world, posing significant threats to both the health and financial security of many nations …
A Review of Global PM2.5 Exposure Research Trends from 1992 to 2022
Exposure to air pollutants of fine particulate matter (PM2. 5) is a major threat to human
health. Research on PM2. 5 exposure has been on the rise in recent years, but there has …
health. Research on PM2. 5 exposure has been on the rise in recent years, but there has …
The limits of the neighborhood effect: Contextual uncertainties in geographic, environmental health, and social science research
MP Kwan - Annals of the American Association of Geographers, 2018 - Taylor & Francis
This article draws on recent studies to argue that researchers need to be attentive to the
limits of the neighborhood effect as conventionally understood. It highlights the complexities …
limits of the neighborhood effect as conventionally understood. It highlights the complexities …
A comparative analysis of the impacts of objective versus subjective neighborhood environment on physical, mental, and social health
Research on the relationship between neighborhood context and health outcome has
attracted notable attention. However, few studies examine and compare the associations …
attracted notable attention. However, few studies examine and compare the associations …
A multilevel analysis of perceived noise pollution, geographic contexts and mental health in Beijing
With rapid urbanization and increase in car ownership, ambient noise pollution resulting
from diversified sources (eg, road traffic, railway, commercial services) has become a severe …
from diversified sources (eg, road traffic, railway, commercial services) has become a severe …
Assessing mobility-based real-time air pollution exposure in space and time using smart sensors and GPS trajectories in Beijing
Using real-time data from portable air pollutant sensors and smartphone Global Positioning
System trajectories collected in Beijing, China, this study demonstrates how smart …
System trajectories collected in Beijing, China, this study demonstrates how smart …
A GIS-based landslide susceptibility mapping and variable importance analysis using artificial intelligent training-based methods
Landslides often cause significant casualties and economic losses, and therefore landslide
susceptibility mapping (LSM) has become increasingly urgent and important. The potential …
susceptibility mapping (LSM) has become increasingly urgent and important. The potential …
Investigating the relationship between the built environment and relative risk of COVID-19 in Hong Kong
Understanding the relationship between the built environment and the risk of COVID-19
transmission is essential to respond to the pandemic. This study explores the relationship …
transmission is essential to respond to the pandemic. This study explores the relationship …
Measuring spatio-temporal accessibility to emergency medical services through big GPS data
Medical accessibility is an important indicator for evaluating the effectiveness of public
health services. However, the previous medical accessibility studies mainly focus on spatial …
health services. However, the previous medical accessibility studies mainly focus on spatial …
Impacts of individual daily greenspace exposure on health based on individual activity space and structural equation modeling
Previous studies on the effects of greenspace exposure on health are largely based on static
contextual units, such as residential neighborhoods, and other administrative units. They …
contextual units, such as residential neighborhoods, and other administrative units. They …