International Journal of Health Geographics

Papers
(The median citation count of International Journal of Health Geographics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
How do taxi drivers expose to fine particulate matter (PM2.5) in a Chinese megacity: a rapid assessment incorporating with satellite-derived information and urban mobility data61
Exploring fine-scale urban landscapes using satellite data to predict the distribution of Aedes mosquito breeding sites32
The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China31
Understanding Ixodes ricinus occurrence in private yards: influence of yard and landscape features28
Assessing the association between overcrowding and human physiological stress response in different urban contexts: a case study in Salzburg, Austria22
Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes21
Spatiotemporal analysis of the effect of global development indicators on child mortality21
The use of Virtual Reality (VR) to assess the impact of geographical environments on walking and cycling: a systematic literature review18
Spatial accessibility to health facilities in Sub-Saharan Africa: comparing existing models with survey-based perceived accessibility18
Mapping the prevalence of cancer risk factors at the small area level in Australia17
The development and validation of Spatial Methodology Appraisal of Research Tool (SMART): a concept mapping study16
A practical illustration of spatial smoothing methods for disconnected regions with INLA: spatial survey on overweight and obesity in Malaysia15
MaskMyPy: python tools for performing and analyzing geographic masks13
Bayesian spatio-temporal modeling and prediction of malaria cases in Tanzania mainland (2016-2023): unveiling associations with climate and intervention factors13
Spatial and temporal trends of overweight/obesity and tobacco use in East Africa: subnational insights into cardiovascular disease risk factors13
Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation13
Ecological epidemiology insights into clonorchiosis endemicity in Guangxi, China and Vietnam: a comprehensive machine learning analysis12
Characterization of prehospital time delay in primary percutaneous coronary intervention for acute myocardial infarction: analysis of geographical infrastructure-dependent and -independent components11
Comparison of geographical and individual deprivation index to assess the risk of Sars-CoV-2 infection and disease severity: a retrospective cohort study10
A simulation study for geographic cluster detection analysis on population-based health survey data using spatial scan statistics10
Spatial analysis and mapping of malaria risk areas using geospatial technology in the case of Nekemte City, western Ethiopia9
Impacts of seasonal flooding on geographical access to maternal healthcare in the Barotse Floodplain, Zambia9
Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data9
The role of geographic information system and global positioning system in dementia care and research: a scoping review8
Understanding the spread of infectious diseases in edge areas of hotspots: dengue epidemics in tropical metropolitan regions7
Comparison of static and dynamic exposures to air pollution, noise, and greenness among seniors living in compact-city environments7
Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda7
Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests7
Identifying obesogenic environment through spatial clustering of body mass index among adults7
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis7
Recreational walking and perceived environmental qualities: a national map-based survey in Denmark6
Association of neighborhood physical activity facilities with incident cardiovascular disease6
Deviations from typical paths: a novel approach to working with GPS data in the behavioral sciences6
Participatory mapping to address neighborhood level data deficiencies for food security assessment in Southeastern Virginia, USA6
Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments5
Using spatial video and deep learning for automated mapping of ground-level context in relief camps5
Relationships of residential distance to greenhouse floriculture and organophosphate, pyrethroid, and neonicotinoid urinary metabolite concentration in Ecuadorian Adolescents5
Analysing the outbreaks of leptospirosis after floods in Kerala, India5
Socioeconomic and geographic variations of disabilities in India: evidence from the National Family Health Survey, 2019–215
Validation of desk-based audits using Google Street View® to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort5
Towards more realistic measures of accessibility to emergency departments in Sweden5
Small-area estimation and analysis of HIV/AIDS indicators for precise geographical targeting of health interventions in Nigeria. a spatial microsimulation approach5
Reconciling public health common good and individual privacy: new methods and issues in geoprivacy5
Use of individual Google Location History data to identify consumer encounters with food outlets5
Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data4
Associations between the objective and perceived food environment and eating behavior in relation to socioeconomic status among adults in peri-urban settings: results from the CIVISANO study in Flande4
Optimizing ambulance location based on road accident data in Rwanda using machine learning algorithms4
Physical environment features that predict outdoor active play can be measured using Google Street View images4
GPS tracking methods for spatiotemporal air pollution exposure assessment: comparison and challenges in study implementation4
Correction: Validation of desk‑based audits using Google Street View® to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort4
Evidence of transgenerational effects on autism spectrum disorder using multigenerational space-time cluster detection4
Spatial equity and factors that influence the distribution of elderly care institutions in China3
Accessibility, neighborhood socioeconomic disadvantage and expenditures on electronic gambling machines: a spatial analysis based on player account data3
Association of socio-economic deprivation with COVID-19 incidence and fatality during the first wave of the pandemic in Italy: lessons learned from a local register-based study3
Differences in depressive symptoms by rurality in Japan: a cross-sectional multilevel study using different aggregation units of municipalities and neighborhoods (JAGES)3
Development of a method for walking step observation based on large-scale GPS data3
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 data3
Light at night exposure and risk of dementia conversion from mild cognitive impairment in a Northern Italy population3
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