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SCI Abstract
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Exploring fine-scale urban landscapes using satellite data to predict the distribution of Aedes mosquito breeding sites
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Accessibility, neighborhood socioeconomic disadvantage and expenditures on electronic gambling machines: a spatial analysis based on player account data
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Understanding Ixodes ricinus occurrence in private yards: influence of yard and landscape features
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Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments
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Longitudinal study of changes in greenness exposure, physical activity and sedentary behavior in the ORISCAV-LUX cohort study
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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...
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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
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Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach
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The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China
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Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda
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Socioeconomic and geographic variations of disabilities in India: evidence from the National Family Health Survey, 2019–21
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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...
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Gravity models for potential spatial healthcare access measurement: a systematic methodological review
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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...
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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...
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A Bayesian maximum entropy model for predicting tsetse ecological distributions
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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 ...
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Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic
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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...
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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....
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Physical environment features that predict outdoor active play can be measured using Google Street View images
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Capturing emergency dispatch address points as geocoding candidates to quantify delimited confidence in residential geolocation
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Small-area estimation and analysis of HIV/AIDS indicators for precise geographical targeting of health interventions in Nigeria. a spatial microsimulation approach
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Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning
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Spatial and temporal trends of overweight/obesity and tobacco use in East Africa: subnational insights into cardiovascular disease risk factors
Cardiovascular disease (CVD) is increasing in Sub-Saharan Africa (SSA). Overweight/obesity and tobacco use are modifiable ...
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