样式: 排序: IF: - GO 导出 标记为已读
-
Revisiting the impact of public spaces on the mental health of rural migrants in Wuhan: an integrated multi-source data analysis Int. J. Health Geogr. (IF 4.9) Pub Date : 2024-03-07 Feifan Gao, Hanbei Cheng, Zhigang Li, Le Yu
Current research on public spaces and mental health often focuses on the independent relationship of one or more social mediators, neglecting the nuanced implications and serial mechanisms inherent in the progressive social process. Using Wuhan city, China, as a study case with multi-source data, this research applies Multilevel Generalized Structural Equation Modeling and deep learning techniques
-
Towards more realistic measures of accessibility to emergency departments in Sweden Int. J. Health Geogr. (IF 4.9) Pub Date : 2024-03-02 Jacob Hassler, Tobias Andersson Granberg, Krisjanis Steins, Vania Ceccato
Assuring that emergency health care (EHC) is accessible is a key objective for health care planners. Conventional accessibility analysis commonly relies on resident population data. However, the allocation of resources based on stationary population data may lead to erroneous assumptions of population accessibility to EHC. Therefore, in this paper, we calculate population accessibility to emergency
-
A French classification to describe medical deserts: a multi-professional approach based on the first contact with the healthcare system Int. J. Health Geogr. (IF 4.9) Pub Date : 2024-02-28 Marie Bonal, Cindy Padilla, Guillaume Chevillard, Véronique Lucas-Gabrielli
Increasing inequalities in accessibility to primary care has generated medical deserts. Identifying them is key to target the geographic areas where action is needed. An extensive definition of primary care has been promoted by the World Health Organization: a first level of contact with the health system, which involves the co-presence of different categories of health professionals alongside the
-
Socioeconomic and geographic variations of disabilities in India: evidence from the National Family Health Survey, 2019–21 Int. J. Health Geogr. (IF 4.9) Pub Date : 2024-02-18 Rashmi Rashmi, Sanjay K. Mohanty
Increasing disability is of global and national concern. Lack of evidence on disability across socioeconomic groups and geographic levels (especially small areas) impeded interventions for these disadvantaged subgroups. We aimed to examine the socioeconomic and geographic variations in disabilities, namely hearing, speech, visual, mental, and locomotor, in Indian participants using cross-sectional
-
Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda Int. J. Health Geogr. (IF 4.9) Pub Date : 2024-02-06 Noreen Z. Siddiqui, Lai Wei, Joreintje D. Mackenbach, Maria G. M. Pinho, Marco Helbich, Linda J. Schoonmade, Joline W. J. Beulens
Geographic access to food may affect dietary choices and health outcomes, but the strength and direction of associations may depend on the operationalization of exposure measures. We aimed to systematically review the literature on up-to-date evidence on the association between food environment exposures based on Global Positioning System (GPS) and diet-related and cardiometabolic health outcomes.
-
The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China Int. J. Health Geogr. (IF 4.9) Pub Date : 2024-01-25 Sanwei He, Shan Yu, Lina Ai, Jingya Dai, Calvin King Lam Chung
The impact of objective and subjective environmental factors on health outcomes has been a topic of significant debate, with a growing body of research acknowledging the role of a physically active lifestyle in promoting health. However, consensus regarding their precise influence remains elusive. This study contributes to these discussions by exploring how individual health outcomes correlate with
-
Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach Int. J. Health Geogr. (IF 4.9) Pub Date : 2024-01-06 Jennifer Lord, Agricola Odoi
Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic
-
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 Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-12-20 Gerald J. Kost, Anna K. Füzéry, Louie Kim R. Caratao, Samantha Tinsay, Amanullah Zadran, Adrian P. Ybañez
To perform geographic contour analysis of sea and land ambulance rescue times in an archipelago subject to super typhoons; to design point-of-care testing strategies for medical emergencies and weather disasters made more intense by global warming and rising oceans; and to assess needs for prehospital testing on spatial care paths that accelerate decision making, increase efficiency, improve outcomes
-
Mapping the prevalence of cancer risk factors at the small area level in Australia Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-12-19 James Hogg, Jessica Cameron, Susanna Cramb, Peter Baade, Kerrie Mengersen
Cancer is a significant health issue globally and it is well known that cancer risk varies geographically. However in many countries there are no small area-level data on cancer risk factors with high resolution and complete reach, which hinders the development of targeted prevention strategies. Using Australia as a case study, the 2017–2018 National Health Survey was used to generate prevalence estimates
-
Understanding the spread of infectious diseases in edge areas of hotspots: dengue epidemics in tropical metropolitan regions Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-12-10 Ya-Peng Lee, Tzai-Hung Wen
Identifying clusters or hotspots from disease maps is critical in research and practice. Hotspots have been shown to have a higher potential for transmission risk and may be the source of infections, making them a priority for controlling epidemics. However, the role of edge areas of hotspots in disease transmission remains unclear. This study aims to investigate the role of edge areas in disease transmission
-
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 Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-12-06 Mei-Po Kwan, Jianwei Huang, Zihan Kan
As the COVID-19 pandemic became a major global health crisis, many COVID-19 control measures that use individual-level georeferenced data (e.g., the locations of people’s residences and activities) have been used in different countries around the world. Because these measures involve some disclosure risk and have the potential for privacy violations, people’s concerns for geoprivacy (locational privacy)
-
Gravity models for potential spatial healthcare access measurement: a systematic methodological review Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-12-01 Barbara Stacherl, Odile Sauzet
Quantifying spatial access to care—the interplay of accessibility and availability—is vital for healthcare planning and understanding implications of services (mal-)distribution. A plethora of methods aims to measure potential spatial access to healthcare services. The current study conducts a systematic review to identify and assess gravity model-type methods for spatial healthcare access measurement
-
Revealing associations between spatial time series trends of COVID-19 incidence and human mobility: an analysis of bidirectionality and spatiotemporal heterogeneity Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-11-27 Hoeyun Kwon, Caglar Koylu
Using human mobility as a proxy for social interaction, previous studies revealed bidirectional associations between COVID-19 incidence and human mobility. For example, while an increase in COVID-19 cases may affect mobility to decrease due to lockdowns or fear, conversely, an increase in mobility can potentially amplify social interactions, thereby contributing to an upsurge in COVID-19 cases. Nevertheless
-
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-11-25 Binjie Huang, Jie Liu, Feifei Ding, Yumin Li
Both incidence and mortality of gastric cancer in Gansu rank first in china, this study aimed to describe the recent prevalence of gastric cancer and explore the social and environmental determinants of gastric cancer in Gansu Province. The incidence of gastric cancer in each city of Gansu Province was calculated by utilizing clinical data from patients with gastric cancer (2013–2021) sourced from
-
A Bayesian maximum entropy model for predicting tsetse ecological distributions Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-11-16 Lani Fox, Brad G. Peter, April N. Frake, Joseph P. Messina
African trypanosomiasis is a tsetse-borne parasitic infection that affects humans, wildlife, and domesticated animals. Tsetse flies are endemic to much of Sub-Saharan Africa and a spatial and temporal understanding of tsetse habitat can aid surveillance and support disease risk management. Problematically, current fine spatial resolution remote sensing data are delivered with a temporal lag and are
-
Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-11-08 Jisu Moon, Minseok Kim, Inkyung Jung
Correctly identifying spatial disease cluster is a fundamental concern in public health and epidemiology. The spatial scan statistic is widely used for detecting spatial disease clusters in spatial epidemiology and disease surveillance. Many studies default to a maximum reported cluster size (MRCS) set at 50% of the total population when searching for spatial clusters. However, this default setting
-
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 Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-11-08 Shusuke Sakamoto, Mana Kogure, Tomoya Hanibuchi, Naoki Nakaya, Atsushi Hozawa, Tomoki Nakaya
It has been pointed out that eye-level greenery streetscape promotes leisure walking which is known to be a health -positive physical activity. Most previous studies have focused on the total amount of greenery in the eye-level streetscape to investigate its association with walking behaviour. While it is acknowledged that taller trees contribute to greener environments, providing enhanced physical
-
Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-10-28 Johnny A. Uelmen, Andrew Clark, John Palmer, Jared Kohler, Landon C. Van Dyke, Russanne Low, Connor D. Mapes, Ryan M. Carney
Mosquitoes and the diseases they transmit pose a significant public health threat worldwide, causing more fatalities than any other animal. To effectively combat this issue, there is a need for increased public awareness and mosquito control. However, traditional surveillance programs are time-consuming, expensive, and lack scalability. Fortunately, the widespread availability of mobile devices with
-
Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-10-10 Yuliang Lan, Marco Helbich
Short-term environmental exposures, including green space, air pollution, and noise, have been suggested to affect health. However, the evidence is limited to aggregated exposure estimates which do not allow the capture of daily spatiotemporal exposure sequences. We aimed to (1) determine individuals’ sequential exposure patterns along their daily mobility paths and (2) examine whether and to what
-
Physical environment features that predict outdoor active play can be measured using Google Street View images Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-09-28 Randy Boyes, William Pickett, Ian Janssen, David Swanlund, Nadine Schuurman, Louise Masse, Christina Han, Mariana Brussoni
Childrens’ outdoor active play is an important part of their development. Play behaviour can be predicted by a variety of physical and social environmental features. Some of these features are difficult to measure with traditional data sources. This study investigated the viability of a machine learning method using Google Street View images for measurement of these environmental features. Models to
-
Capturing emergency dispatch address points as geocoding candidates to quantify delimited confidence in residential geolocation Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-09-26 Christian A. Klaus, Kevin A. Henry, Dora Il’yasova
In response to citizens’ concerns about elevated cancer incidence in their locales, US CDC proposed publishing cancer incidence at sub-county scales. At these scales, confidence in patients’ residential geolocation becomes a key constraint of geospatial analysis. To support monitoring cancer incidence in sub-county areas, we presented summary metrics to numerically delimit confidence in residential
-
Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-09-20 Yasemin Algur, Pasquale E. Rummo, Tara P. McAlexander, S. Shanika A. De Silva, Gina S. Lovasi, Suzanne E. Judd, Victoria Ryan, Gargya Malla, Alain K. Koyama, David C. Lee, Lorna E. Thorpe, Leslie A. McClure
Communities in the United States (US) exist on a continuum of urbanicity, which may inform how individuals interact with their food environment, and thus modify the relationship between food access and dietary behaviors. This cross-sectional study aims to examine the modifying effect of community type in the association between the relative availability of food outlets and dietary inflammation across
-
Small-area estimation and analysis of HIV/AIDS indicators for precise geographical targeting of health interventions in Nigeria. a spatial microsimulation approach Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-09-20 Eleojo Oluwaseun Abubakar, Niall Cunningham
Precise geographical targeting is well recognised as an indispensable intervention strategy for achieving many Sustainable Development Goals (SDGs). This is more cogent for health-related goals such as the reduction of the HIV/AIDS pandemic, which exhibits substantial spatial heterogeneity at various spatial scales (including at microscale levels). Despite the dire data limitations in Low and Middle
-
Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-09-16 Jue Wang, Gyoorie Kim, Kevin Chen-Chuan Chang
The exponential growth of location-based social media (LBSM) data has ushered in novel prospects for investigating the urban food environment in health geography research. However, previous studies have primarily relied on word dictionaries with a limited number of food words and employed common-sense categorizations to determine the healthiness of those words. To enhance the analysis of the urban
-
Recreational walking and perceived environmental qualities: a national map-based survey in Denmark Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-09-03 Lars Breum Christiansen, Trine Top Klein-Wengel, Sofie Koch, Jens Høyer-Kruse, Jasper Schipperijn
The aim of the study is to explore the diversity in recreational walking motives across groups with different sociodemographic characteristics, and to use a dynamic and person-centered approach to geographically assess recreational walking behavior, and preferences for place quality related to recreational walking. A total of 1838 adult respondents (age 15–90 years), who engage in recreational walking
-
Spatial and temporal trends of overweight/obesity and tobacco use in East Africa: subnational insights into cardiovascular disease risk factors Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-08-24 Barbara Chebet Keino, Margaret Carrel
Cardiovascular disease (CVD) is increasing in Sub-Saharan Africa (SSA). Overweight/obesity and tobacco use are modifiable CVD risk factors, however literature about the spatiotemporal dynamics of these risk factors in the region at subnational or local scales is lacking. We describe the spatiotemporal trends of overweight/obesity and tobacco use at subnational levels over a 13-year period (2003 to
-
Small area analysis methods in an area of limited mapping: exploratory geospatial analysis of firearm injuries in Port-au-Prince, Haiti Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-08-18 Athanasios Burlotos, Tayana Jean Pierre, Walter Johnson, Seth Wiafe, Michelle Joseph
The city of Port-au-Prince, Haiti, is experiencing an epidemic of firearm injuries which has resulted in high burdens of morbidity and mortality. Despite this, little scientific literature exists on the topic. Geospatial research could inform stakeholders and aid in the response to the current firearm injury epidemic. However, traditional small-area geospatial methods are difficult to implement in
-
Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-08-10 Aynaz Lotfata, Mohammad Moosazadeh, Marco Helbich, Benyamin Hoseini
Some studies have established associations between the prevalence of new-onset asthma and asthma exacerbation and socioeconomic and environmental determinants. However, research remains limited concerning the shape of these associations, the importance of the risk factors, and how these factors vary geographically. We aimed (1) to examine ecological associations between asthma prevalence and multiple
-
Impacts of seasonal flooding on geographical access to maternal healthcare in the Barotse Floodplain, Zambia Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-07-31 Elizabeth Jade Mroz, Thomas Willis, Chris Thomas, Craig Janes, Douglas Singini, Mwimanenwa Njungu, Mark Smith
Seasonal floods pose a commonly-recognised barrier to women’s access to maternal services, resulting in increased morbidity and mortality. Despite their importance, previous GIS models of healthcare access have not adequately accounted for floods. This study developed new methodologies for incorporating flood depths, velocities, and extents produced with a flood model into network- and raster-based
-
Association of neighborhood physical activity facilities with incident cardiovascular disease Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-07-29 Yulin Huang, Huimin Zhao, Qiuju Deng, Yue Qi, Jiayi Sun, Miao Wang, Jie Chang, Piaopiao Hu, Yuwei Su, Ying Long, Jing Liu
The availability of physical activity (PA) facilities in neighborhoods is hypothesized to influence cardiovascular disease (CVD), but evidence from individual-level long-term cohort studies is limited. We aimed to assess the association between neighborhood exposure to PA facilities and CVD incidence. A total of 4658 participants from the Chinese Multi-provincial Cohort Study without CVD at baseline
-
Assessing the association between overcrowding and human physiological stress response in different urban contexts: a case study in Salzburg, Austria Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-06-21 Zhaoxi Zhang, Kristýna Měchurová, Bernd Resch, Prince Amegbor, Clive E. Sabel
Overcrowding in densely populated urban areas is increasingly becoming an issue for mental health disorders. Yet, only few studies have examined the association between overcrowding in cities and physiological stress responses. Thus, this study employed wearable sensors (a wearable camera, an Empatica E4 wristband and a smartphone-based GPS) to assess the association between overcrowding and human
-
A practical illustration of spatial smoothing methods for disconnected regions with INLA: spatial survey on overweight and obesity in Malaysia Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-06-21 Maria Safura Mohamad, Khairul Nizam Abdul Maulud, Christel Faes
National prevalence could mask subnational heterogeneity in disease occurrence, and disease mapping is an important tool to illustrate the spatial pattern of disease. However, there is limited information on techniques for the specification of conditional autoregressive models in disease mapping involving disconnected regions. This study explores available techniques for producing district-level prevalence
-
Quantifying the spatial spillover effects of non-pharmaceutical interventions on pandemic risk Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-06-07 Keli Wang, Xiaoyi Han, Lei Dong, Xiao-Jian Chen, Gezhi Xiu, Mei-po Kwan, Yu Liu
Non-pharmaceutical interventions (NPIs) implemented in one place can affect neighboring regions by influencing people’s behavior. However, existing epidemic models for NPIs evaluation rarely consider such spatial spillover effects, which may lead to a biased assessment of policy effects. Using the US state-level mobility and policy data from January 6 to August 2, 2020, we develop a quantitative framework
-
Open-source environmental data as an alternative to snail surveys to assess schistosomiasis risk in areas approaching elimination Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-06-02 Elise N. Grover, William B. Allshouse, Andrea J. Lund, Yang Liu, Sara H. Paull, Katherine A. James, James L. Crooks, Elizabeth J. Carlton
Although the presence of intermediate snails is a necessary condition for local schistosomiasis transmission to occur, using them as surveillance targets in areas approaching elimination is challenging because the patchy and dynamic quality of snail host habitats makes collecting and testing snails labor-intensive. Meanwhile, geospatial analyses that rely on remotely sensed data are becoming popular
-
Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-05-19 Lorenza Gilardi, Mattia Marconcini, Annekatrin Metz-Marconcini, Thomas Esch, Thilo Erbertseder
The negative effect of air pollution on human health is widely reported in recent literature. It typically involves urbanized areas where the population is concentrated and where most primary air pollutants are produced. A comprehensive health risk assessment is therefore of strategic importance for health authorities. In this study we propose a methodology to perform an indirect and retrospective
-
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 study Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-05-04 Francesca Fortunato, Roberto Lillini, Domenico Martinelli, Giuseppina Iannelli, Leonardo Ascatigno, Georgia Casanova, Pier Luigi Lopalco, Rosa Prato
COVID-19 has been characterised by its global and rapid spread, with high infection, hospitalisation, and mortality rates worldwide. However, the course of the pandemic showed differences in chronology and intensity in different geographical areas and countries, probably due to a multitude of factors. Among these, socio-economic deprivation has been supposed to play a substantial role, although available
-
Spatiotemporal analysis of the effect of global development indicators on child mortality Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-05-04 Prince M. Amegbor, Angelina Addae
Child mortality continue to be a major public health issue in most developing countries; albeit there has been a decline in global under-five deaths. The differences in child mortality can best be explained by socioeconomic and environmental inequalities among countries. In this study, we explore the effect of country-level development indicators on under-five mortality rates. Specifically, we examine
-
Uncovering COVID-19 infection determinants in Portugal: towards an evidence-based spatial susceptibility index to support epidemiological containment policies Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-04-06 André Alves, Nuno Marques da Costa, Paulo Morgado, Eduarda Marques da Costa
COVID-19 caused the largest pandemic of the twenty-first century forcing the adoption of containment policies all over the world. Many studies on COVID-19 health determinants have been conducted, mainly using multivariate methods and geographic information systems (GIS), but few attempted to demonstrate how knowing social, economic, mobility, behavioural, and other spatial determinants and their effects
-
Characterization of prehospital time delay in primary percutaneous coronary intervention for acute myocardial infarction: analysis of geographical infrastructure-dependent and -independent components Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-03-30 Keisuke Oyatani, Masayuki Koyama, Nobuaki Himuro, Tetsuji Miura, Hirofumi Ohnishi
Prehospital delay in reaching a percutaneous coronary intervention (PCI) facility is a major problem preventing early coronary reperfusion in patients with ST-elevation myocardial infarction (STEMI). The aim of this study was to identify modifiable factors that contribute to the interval from symptom onset to arrival at a PCI-capable center with a focus on geographical infrastructure-dependent and
-
Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-03-27 Eda Mumo, Nathan O. Agutu, Angela K. Moturi, Anitah Cherono, Samuel K. Muchiri, Robert W. Snow, Victor A. Alegana
Estimating accessibility gaps to essential health interventions helps to allocate and prioritize health resources. Access to blood transfusion represents an important emergency health requirement. Here, we develop geo-spatial models of accessibility and competition to blood transfusion services in Bungoma County, Western Kenya. Hospitals providing blood transfusion services in Bungoma were identified
-
Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-02-10 Elias Willberg, Age Poom, Joose Helle, Tuuli Toivonen
Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental exposure for active travel. It enables analyses of (1) urban scale exposure variation, (2) alternative
-
Spatiotemporal evolution of COVID-19 in Portugal’s Mainland with self-organizing maps Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-01-29 Igor Duarte, Manuel C. Ribeiro, Maria João Pereira, Pedro Pinto Leite, André Peralta-Santos, Leonardo Azevedo
Self-Organizing Maps (SOM) are an unsupervised learning clustering and dimensionality reduction algorithm capable of mapping an initial complex high-dimensional data set into a low-dimensional domain, such as a two-dimensional grid of neurons. In the reduced space, the original complex patterns and their interactions can be better visualized, interpreted and understood. We use SOM to simultaneously
-
Comparison of static and dynamic exposures to air pollution, noise, and greenness among seniors living in compact-city environments Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-01-28 Oriol Marquet, Jose Tello-Barsocchini, Daniel Couto-Trigo, Irene Gómez-Varo, Monika Maciejewska
GPS technology and tracking study designs have gained popularity as a tool to go beyond the limitations of static exposure assessments based on the subject's residence. These dynamic exposure assessment methods offer high potential upside in terms of accuracy but also disadvantages in terms of cost, sample sizes, and types of data generated. Because of that, with our study we aim to understand in which
-
Geospatial techniques for monitoring and mitigating climate change and its effects on human health Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-01-27 Maged N. Kamel Boulos, John P. Wilson
This article begins by briefly examining the multitude of ways in which climate and climate change affect human health and wellbeing. It then proceeds to present a quick overview of how geospatial data, methods and tools are playing key roles in the measurement, analysis and modelling of climate change and its effects on human health. Geospatial techniques are proving indispensable for making more
-
The effect of physician density on colorectal cancer stage at diagnosis: causal inference methods for spatial data applied on regional-level data Int. J. Health Geogr. (IF 4.9) Pub Date : 2023-01-19 Dajana Draganic, Knut Reidar Wangen
The early detection of colorectal cancer (CRC) through regular screening decreases its incidence and mortality rates and improves survival rates. Norway has an extremely high percentage of CRC cases diagnosed at late stages, with large variations across municipalities and hospital catchment areas. This study examined whether the availability of physicians related to CRC primary diagnosis and preoperative
-
Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-12-30 Zhou, Ryan Zhenqi, Hu, Yingjie, Tirabassi, Jill N., Ma, Yue, Xu, Zhen
Obesity is a serious public health problem. Existing research has shown a strong association between obesity and an individual’s diet and physical activity. If we extend such an association to the neighborhood level, information about the diet and physical activity of the residents of a neighborhood may improve the estimate of neighborhood-level obesity prevalence and help identify the neighborhoods
-
Role of mammography accessibility, deprivation and spatial effect in breast cancer screening participation in France: an observational ecological study Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-12-24 Prajapati, Nirmala, Soler-Michel, Patricia, Vieira, Verónica M., Padilla, Cindy M.
The detection of cancer in its early latent stages can improve patients’ chances of recovery and thereby reduce the overall burden of the disease. Our objectives were to investigate factors (geographic accessibility and deprivation level) affecting mammography screening participation variation and to determine how much geographic variation in participation rates can be explained by spillover effects
-
The effect of sampling health facilities on estimates of effective coverage: a simulation study Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-12-17 Carter, Emily D., Maiga, Abdoulaye, Do, Mai, Sika, Glebelho Lazare, Mosso, Rosine, Dosso, Abdul, Munos, Melinda K.
Most existing facility assessments collect data on a sample of health facilities. Sampling of health facilities may introduce bias into estimates of effective coverage generated by ecologically linking individuals to health providers based on geographic proximity or administrative catchment. We assessed the bias introduced to effective coverage estimates produced through two ecological linking approaches
-
Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-11-16 Giri, Santosh, Brondeel, Ruben, El Aarbaoui, Tarik, Chaix, Basile
There has been an increased focus on active transport, but the measurement of active transport is still difficult and error-prone. Sensor data have been used to predict active transport. While heart rate data have very rarely been considered before, this study used random forests (RF) to predict transport modes using Global Positioning System (GPS), accelerometer, and heart rate data and paid attention
-
Spatial accessibility to health facilities in Sub-Saharan Africa: comparing existing models with survey-based perceived accessibility Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-11-12 Bihin, Jérémie, De Longueville, Florence, Linard, Catherine
Mapping geographical accessibility to health services is essential to improve access to public health in sub-Saharan Africa. Different methods exist to estimate geographical accessibility, but little is known about the ability of these methods to represent the experienced accessibility of the population, and about the added-value of sophisticated and data-demanding methods over simpler ones. Here we
-
Participatory mapping to address neighborhood level data deficiencies for food security assessment in Southeastern Virginia, USA Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-11-07 Hutton, Nicole S., McLeod, George, Allen, Thomas R., Davis, Christopher, Garnand, Alexandra, Richter, Heather, Chavan, Prachi P., Hoglund, Leslie, Comess, Jill, Herman, Matthew, Martin, Brian, Romero, Cynthia
Food is not equitably available. Deficiencies and generalizations limit national datasets, food security assessments, and interventions. Additional neighborhood level studies are needed to develop a scalable and transferable process to complement national and internationally comparative data sets with timely, granular, nuanced data. Participatory geographic information systems (PGIS) offer a means
-
Spatial-temporal analysis of cerebral infarction mortality in Hokkaido, Japan: an ecological study using a conditional autoregressive model Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-10-31 Ohashi, Kazuki, Osanai, Toshiya, Fujiwara, Kensuke, Tanikawa, Takumi, Tani, Yuji, Takamiya, Soichiro, Sato, Hirotaka, Morii, Yasuhiro, Bando, Kyohei, Ogasawara, Katsuhiko
Accessibility to stroke treatments is a challenge that depends on the place of residence. However, recent advances in medical technology have improved health outcomes. Nevertheless, the geographic heterogeneity of medical resources may increase regional disparities. Therefore, evaluating spatial and temporal influences of the medical system on regional outcomes and advanced treatment of cerebral infarction
-
Climate-driven mosquito-borne viral suitability index: measuring risk transmission of dengue, chikungunya and Zika in Mexico Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-10-27 Carreto, Constantino, Gutiérrez-Romero, Roxana, Rodríguez, Tania
Climate variability influences the population dynamics of the Aedes aegypti mosquito that transmits the viruses that cause dengue, chikungunya and Zika. In recent years these diseases have grown considerably. Dengue is now the fastest-growing mosquito-transmitted disease worldwide, putting 40 per cent of the global population at risk. With no effective antiviral treatments or vaccines widely available
-
Assessing road criticality and loss of healthcare accessibility during floods: the case of Cyclone Idai, Mozambique 2019 Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-10-12 Petricola, Sami, Reinmuth, Marcel, Lautenbach, Sven, Hatfield, Charles, Zipf, Alexander
The ability of disaster response, preparedness, and mitigation efforts to assess the loss of physical accessibility to health facilities and to identify impacted populations is key in reducing the humanitarian consequences of disasters. Recent studies use either network- or raster-based approaches to measure accessibility in respect to travel time. Our analysis compares a raster- and a network- based
-
Evidence of transgenerational effects on autism spectrum disorder using multigenerational space-time cluster detection Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-10-03 Richards Steed, Rebecca, Bakian, Amanda V., Smith, Ken Robert, Wan, Neng, Brewer, Simon, Medina, Richard, VanDerslice, James
Transgenerational epigenetic risks associated with complex health outcomes, such as autism spectrum disorder (ASD), have attracted increasing attention. Transgenerational environmental risk exposures with potential for epigenetic effects can be effectively identified using space-time clustering. Specifically applied to ancestors of individuals with disease outcomes, space-time clustering characterized
-
Comparing effects of Euclidean buffers and network buffers on associations between built environment and transport walking: the Multi-Ethnic Study of Atherosclerosis Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-09-17 Li, Jingjing, Peterson, Adam, Auchincloss, Amy H., Hirsch, Jana A., Rodriguez, Daniel A., Melly, Steven J., Moore, Kari A., Diez-Roux, Ana V., Sánchez, Brisa N.
Transport walking has drawn growing interest due to its potential to increase levels of physical activities and reduce reliance on vehicles. While existing studies have compared built environment-health associations between Euclidean buffers and network buffers, no studies have systematically quantified the extent of bias in health effect estimates when exposures are measured in different buffers.
-
A simulation study for geographic cluster detection analysis on population-based health survey data using spatial scan statistics Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-09-09 Moon, Jisu, Jung, Inkyung
In public health and epidemiology, spatial scan statistics can be used to identify spatial cluster patterns of health-related outcomes from population-based health survey data. Although it is appropriate to consider the complex sample design and sampling weight when analyzing complex sample survey data, the observed survey responses without these considerations are often used in many studies related
-
Development of a method for walking step observation based on large-scale GPS data Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-09-07 Nagata, Shohei, Nakaya, Tomoki, Hanibuchi, Tomoya, Nakaya, Naoki, Hozawa, Atsushi
Widespread use of smartphones has enabled the continuous monitoring of people’s movements and physical activity. Linking global positioning systems (GPS) data obtained via smartphone applications to physical activity data may allow for large-scale and retrospective evaluation of where and how much physical activity has increased or decreased due to environmental, social, or individual changes caused
-
The geospatial and conceptual configuration of the natural environment impacts the association with health outcomes and behavior in children and adolescents Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-08-11 Nigg, Carina, Niessner, Claudia, Burchartz, Alexander, Woll, Alexander, Schipperijn, Jasper
Studies investigating associations between natural environments and health outcomes or health behaviors in children and adolescents yielded heterogenous results to date. This may be the result of different geospatial configurations of the natural environment and confounding characteristics of the study population. Thus, we investigated how the relationship between the natural environment and mental
-
The role of geographic information system and global positioning system in dementia care and research: a scoping review Int. J. Health Geogr. (IF 4.9) Pub Date : 2022-08-04 Firouraghi, Neda, Kiani, Behzad, Jafari, Hossein Tabatabaei, Learnihan, Vincent, Salinas-Perez, Jose A., Raeesi, Ahmad, Furst, MaryAnne, Salvador-Carulla, Luis, Bagheri, Nasser
Geographic Information System (GIS) and Global Positioning System (GPS), vital tools for supporting public health research, provide a framework to collect, analyze and visualize the interaction between different levels of the health care system. The extent to which GIS and GPS applications have been used in dementia care and research is not yet investigated. This scoping review aims to elaborate on