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Use of individual Google Location History data to identify consumer encounters with food outlets
Use of individual Google Location History data to identify consumer encounters with food outlets
Addressing key behavioral risk factors for chronic diseases, such as diet, requires innovative methods to objectively meas...
Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models
Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models
Tick-borne encephalitis (TBE) is the most serious tick-borne viral disease in Europe. Identifying TBE risk areas can be di...
Designing a clustering algorithm for optimizing health station locations
Designing a clustering algorithm for optimizing health station locations
In this paper, we define the optimization of health station locations as a clustering problem. We design a robust algorith...
Relationships between fixed-site ambient measurements of nitrogen dioxide, ozone, and particulate matter and personal exposures in Grand Paris, France: the MobiliSense study
Relationships between fixed-site ambient measurements of nitrogen dioxide, ozone, and particulate matter and personal exposures in Grand Paris, France: the MobiliSense study
Past epidemiological studies, using fixed-site outdoor air pollution measurements as a proxy for participants’ expos...
Identifying obesogenic environment through spatial clustering of body mass index among adults
Identifying obesogenic environment through spatial clustering of body mass index among adults
The escalating trend of obesity in Malaysia is surmounting, and the lack of evidence on the environmental influence on obe...
An investigation of inequalities in exposure to PM2.5 air pollution across small areas in Ireland
An investigation of inequalities in exposure to PM2.5 air pollution across small areas in Ireland
The link between exposure to air pollution and adverse effects on human health is well documented. Yet, in a European cont...
Exploring fine-scale urban landscapes using satellite data to predict the distribution of Aedes mosquito breeding sites
Exploring fine-scale urban landscapes using satellite data to predict the distribution of Aedes mosquito breeding sites
The spread of mosquito-transmitted diseases such as dengue is a major public health issue worldwide. The Aedes aegypti mos...
Comparing mapped park and greenspace boundaries in Philadelphia: implications for exposure assessment in health studies
Comparing mapped park and greenspace boundaries in Philadelphia: implications for exposure assessment in health studies
An important consideration in studies of the relationship between greenspace exposure and health is the use of mapped data...
Accessibility, neighborhood socioeconomic disadvantage and expenditures on electronic gambling machines: a spatial analysis based on player account data
Accessibility, neighborhood socioeconomic disadvantage and expenditures on electronic gambling machines: a spatial analysis based on player account data
Gambling and its harmful effects on human health and well-being represent a significant public health concern in many coun...
Analysing the outbreaks of leptospirosis after floods in Kerala, India
Analysing the outbreaks of leptospirosis after floods in Kerala, India
A growing number of studies have linked the incidence of leptospirosis with the occurrence of flood events. Nevertheless, ...
Investigating young children’s physical activity through time and place
Investigating young children’s physical activity through time and place
Previous research indicates the start of primary school (4-5-year-old) as an essential period for the development of child...
Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments
Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments
In the near future, the incidence of mosquito-borne diseases may expand to new sites due to changes in temperature and rai...
Longitudinal study of changes in greenness exposure, physical activity and sedentary behavior in the ORISCAV-LUX cohort study
Longitudinal study of changes in greenness exposure, physical activity and sedentary behavior in the ORISCAV-LUX cohort study
Greenness exposure has been associated with many health benefits, for example through the pathway of providing opportuniti...
The use of Virtual Reality (VR) to assess the impact of geographical environments on walking and cycling: a systematic literature review
The use of Virtual Reality (VR) to assess the impact of geographical environments on walking and cycling: a systematic literature review
Geographical environments influence people's active mobility behaviors, contributing to their physical and mental heal...
Mapping the prevalence of cancer risk factors at the small area level in Australia
Mapping the prevalence of cancer risk factors at the small area level in Australia
Cancer is a significant health issue globally and it is well known that cancer risk varies geographically. However in many...
Using geographic rescue time contours, point-of-care strategies, and spatial care paths to prepare island communities for global warming, rising oceans, and weather disasters
Using geographic rescue time contours, point-of-care strategies, and spatial care paths to prepare island communities for global warming, rising oceans, and weather disasters
To perform geographic contour analysis of sea and land ambulance rescue times in an archipelago subject to super typhoons;...
Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach
Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach
Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to p...
The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China
The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China
The impact of objective and subjective environmental factors on health outcomes has been a topic of significant debate, wi...
Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda
Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda
Geographic access to food may affect dietary choices and health outcomes, but the strength and direction of associations m...
People’s political views, perceived social norms, and individualism shape their privacy concerns for and acceptance of pandemic control measures that use individual-level georeferenced data
People’s political views, perceived social norms, and individualism shape their privacy concerns for and acceptance of pandemic control measures that use individual-level georeferenced data
As the COVID-19 pandemic became a major global health crisis, many COVID-19 control measures that use individual-level geo...
Gravity models for potential spatial healthcare access measurement: a systematic methodological review
Gravity models for potential spatial healthcare access measurement: a systematic methodological review
Quantifying spatial access to care—the interplay of accessibility and availability—is vital for healthcare pla...
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
Both incidence and mortality of gastric cancer in Gansu rank first in china, this study aimed to describe the recent preva...
Revealing associations between spatial time series trends of COVID-19 incidence and human mobility: an analysis of bidirectionality and spatiotemporal heterogeneity
Revealing associations between spatial time series trends of COVID-19 incidence and human mobility: an analysis of bidirectionality and spatiotemporal heterogeneity
Using human mobility as a proxy for social interaction, previous studies revealed bidirectional associations between COVID...
A Bayesian maximum entropy model for predicting tsetse ecological distributions
A Bayesian maximum entropy model for predicting tsetse ecological distributions
African trypanosomiasis is a tsetse-borne parasitic infection that affects humans, wildlife, and domesticated animals. Tse...
Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes
Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes
Mosquitoes and the diseases they transmit pose a significant public health threat worldwide, causing more fatalities than ...
Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic
Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic
Correctly identifying spatial disease cluster is a fundamental concern in public health and epidemiology. The spatial scan...
Effects of greenery at different heights in neighbourhood streetscapes on leisure walking: a cross-sectional study using machine learning of streetscape images in Sendai City, Japan
Effects of greenery at different heights in neighbourhood streetscapes on leisure walking: a cross-sectional study using machine learning of streetscape images in Sendai City, Japan
It has been pointed out that eye-level greenery streetscape promotes leisure walking which is known to be a health -positi...
Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories
Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories
Short-term environmental exposures, including green space, air pollution, and noise, have been suggested to affect health....
Physical environment features that predict outdoor active play can be measured using Google Street View images
Physical environment features that predict outdoor active play can be measured using Google Street View images
Childrens’ outdoor active play is an important part of their development. Play behaviour can be predicted by a varie...
Capturing emergency dispatch address points as geocoding candidates to quantify delimited confidence in residential geolocation
Capturing emergency dispatch address points as geocoding candidates to quantify delimited confidence in residential geolocation
In response to citizens’ concerns about elevated cancer incidence in their locales, US CDC proposed publishing cance...
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