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 2021-08-01 to 2025-08-01.)
ArticleCitations
The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China60
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 data32
Exploring fine-scale urban landscapes using satellite data to predict the distribution of Aedes mosquito breeding sites31
Mapping the prevalence of cancer risk factors at the small area level in Australia25
Understanding Ixodes ricinus occurrence in private yards: influence of yard and landscape features21
Assessing the association between overcrowding and human physiological stress response in different urban contexts: a case study in Salzburg, Austria20
Park environment and moderate-to-vigorous physical activity in parks among adolescents in a high-density city: the moderating role of neighbourhood income19
Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes18
Spatial accessibility to health facilities in Sub-Saharan Africa: comparing existing models with survey-based perceived accessibility18
The use of Virtual Reality (VR) to assess the impact of geographical environments on walking and cycling: a systematic literature review17
Spatiotemporal analysis of the effect of global development indicators on child mortality16
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 Malaysia14
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 factors12
Joint mapping of cardiovascular diseases: comparing the geographic patterns in incident acute myocardial infarction, stroke and atrial fibrillation, a Danish register-based cohort study 2014–1512
MaskMyPy: python tools for performing and analyzing geographic masks11
Ecological epidemiology insights into clonorchiosis endemicity in Guangxi, China and Vietnam: a comprehensive machine learning analysis11
Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation11
Characterization of prehospital time delay in primary percutaneous coronary intervention for acute myocardial infarction: analysis of geographical infrastructure-dependent and -independent components10
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
Comparison of geographical and individual deprivation index to assess the risk of Sars-CoV-2 infection and disease severity: a retrospective cohort study9
The role of geographic information system and global positioning system in dementia care and research: a scoping review8
Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda7
Impacts of seasonal flooding on geographical access to maternal healthcare in the Barotse Floodplain, Zambia7
Understanding the spread of infectious diseases in edge areas of hotspots: dengue epidemics in tropical metropolitan regions7
Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data7
Comparison of static and dynamic exposures to air pollution, noise, and greenness among seniors living in compact-city environments7
Participatory mapping to address neighborhood level data deficiencies for food security assessment in Southeastern Virginia, USA6
Deviations from typical paths: a novel approach to working with GPS data in the behavioral sciences6
Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests6
Identifying obesogenic environment through spatial clustering of body mass index among adults6
Association of neighborhood physical activity facilities with incident cardiovascular disease6
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis6
Recreational walking and perceived environmental qualities: a national map-based survey in Denmark6
Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments5
Socioeconomic and geographic variations of disabilities in India: evidence from the National Family Health Survey, 2019–215
Using spatial video and deep learning for automated mapping of ground-level context in relief camps5
Analysing the outbreaks of leptospirosis after floods in Kerala, India5
Reconciling public health common good and individual privacy: new methods and issues in geoprivacy5
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
Small-area estimation and analysis of HIV/AIDS indicators for precise geographical targeting of health interventions in Nigeria. a spatial microsimulation approach5
Towards more realistic measures of accessibility to emergency departments in Sweden5
Use of individual Google Location History data to identify consumer encounters with food outlets5
Development of a Web GIS for small-scale detection and analysis of COVID-19 (SARS-CoV-2) cases based on volunteered geographic information for the city of Cologne, Germany, in July/August 20204
Physical environment features that predict outdoor active play can be measured using Google Street View images4
Correction to: A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks4
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
Improving spatial data in health geographics: a practical approach for testing data to measure children’s physical activity and food environments using Google Street View4
GPS tracking methods for spatiotemporal air pollution exposure assessment: comparison and challenges in study implementation4
Relationships of residential distance to greenhouse floriculture and organophosphate, pyrethroid, and neonicotinoid urinary metabolite concentration in Ecuadorian Adolescents4
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 study4
Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data4
Evidence of transgenerational effects on autism spectrum disorder using multigenerational space-time cluster detection4
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
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 data4
Light at night exposure and risk of dementia conversion from mild cognitive impairment in a Northern Italy population3
Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study3
Spatial equity and factors that influence the distribution of elderly care institutions in China3
Differences in depressive symptoms by rurality in Japan: a cross-sectional multilevel study using different aggregation units of municipalities and neighborhoods (JAGES)3
Accessibility, neighborhood socioeconomic disadvantage and expenditures on electronic gambling machines: a spatial analysis based on player account data3
Development of a method for walking step observation based on large-scale GPS data3
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