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Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade
Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade
Illicit kidney trade networks, operating globally, involve intricate interactions among various players, most notably buye...
Identifying pharmacy gaps: a spatiotemporal study of multimodal accessibility throughout the day
Identifying pharmacy gaps: a spatiotemporal study of multimodal accessibility throughout the day
Accessibility to community pharmacies is crucial for ensuring timely access to medications and essential health services. ...
MaskMyPy: python tools for performing and analyzing geographic masks
MaskMyPy: python tools for performing and analyzing geographic masks
Geographic masking is an important but under-utilized technique for protecting and disseminating sensitive geospatial heal...
Assessing the impact of building footprint dataset choice for health programme planning: a case study of indoor residual spraying (IRS) in Zambia
Assessing the impact of building footprint dataset choice for health programme planning: a case study of indoor residual spraying (IRS) in Zambia
The increasing availability globally of building footprint datasets has brought new opportunities to support a geographic ...
The development and validation of Spatial Methodology Appraisal of Research Tool (SMART): a concept mapping study
The development and validation of Spatial Methodology Appraisal of Research Tool (SMART): a concept mapping study
This study developed and validated the Spatial Methodology Appraisal of Research Tool (SMART) using group concept mapping ...
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...
Socioeconomic and geographic variations of disabilities in India: evidence from the National Family Health Survey, 2019–21
Socioeconomic and geographic variations of disabilities in India: evidence from the National Family Health Survey, 2019–21
Increasing disability is of global and national concern. Lack of evidence on disability across socioeconomic groups and ge...
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...
Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study
Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study
Communities in the United States (US) exist on a continuum of urbanicity, which may inform how individuals interact with t...
Small-area estimation and analysis of HIV/AIDS indicators for precise geographical targeting of health interventions in Nigeria. a spatial microsimulation approach
Small-area estimation and analysis of HIV/AIDS indicators for precise geographical targeting of health interventions in Nigeria. a spatial microsimulation approach
Precise geographical targeting is well recognised as an indispensable intervention strategy for achieving many Sustainable...
Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning
Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning
The exponential growth of location-based social media (LBSM) data has ushered in novel prospects for investigating the urb...
Recreational walking and perceived environmental qualities: a national map-based survey in Denmark
Recreational walking and perceived environmental qualities: a national map-based survey in Denmark
The aim of the study is to explore the diversity in recreational walking motives across groups with different sociodemogra...
Spatial and temporal trends of overweight/obesity and tobacco use in East Africa: subnational insights into cardiovascular disease risk factors
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 ...
Small area analysis methods in an area of limited mapping: exploratory geospatial analysis of firearm injuries in Port-au-Prince, Haiti
Small area analysis methods in an area of limited mapping: exploratory geospatial analysis of firearm injuries in Port-au-Prince, Haiti
The city of Port-au-Prince, Haiti, is experiencing an epidemic of firearm injuries which has resulted in high burdens of m...
Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests
Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests
Some studies have established associations between the prevalence of new-onset asthma and asthma exacerbation and socioeco...
Impacts of seasonal flooding on geographical access to maternal healthcare in the Barotse Floodplain, Zambia
Impacts of seasonal flooding on geographical access to maternal healthcare in the Barotse Floodplain, Zambia
Seasonal floods pose a commonly-recognised barrier to women’s access to maternal services, resulting in increased mo...
Association of neighborhood physical activity facilities with incident cardiovascular disease
Association of neighborhood physical activity facilities with incident cardiovascular disease
The availability of physical activity (PA) facilities in neighborhoods is hypothesized to influence cardiovascular disease...
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