
显示样式: 排序: IF: - GO 导出
-
Adapting the SPOTLIGHT Virtual Audit Tool to assess food and activity environments relevant for adolescents: a validity and reliability study Int. J. Health Geogr. (IF 3.239) Pub Date : 2021-01-18 Oddbjørn Klomsten Andersen; Siobhan A. O’Halloran; Elin Kolle; Nanna Lien; Jeroen Lakerveld; Onyebuchi A. Arah; Mekdes K. Gebremariam
Physical inactivity and unhealthy diet are key behavioral determinants underlying obesity. The neighborhood environment represents an important arena for modifying these behaviors, and hence reliable and valid tools to measure it are needed. Most existing virtual audit tools have been designed to assess either food or activity environments deemed relevant for adults. Thus, there is a need for a tool
-
Measuring the impact of spatial perturbations on the relationship between data privacy and validity of descriptive statistics Int. J. Health Geogr. (IF 3.239) Pub Date : 2021-01-07 Kelly Broen; Rob Trangucci; Jon Zelner
Like many scientific fields, epidemiology is addressing issues of research reproducibility. Spatial epidemiology, which often uses the inherently identifiable variable of participant address, must balance reproducibility with participant privacy. In this study, we assess the impact of several different data perturbation methods on key spatial statistics and patient privacy. We analyzed the impact of
-
Children’s outdoor active mobility behaviour and neighbourhood safety: a systematic review in measurement methods and future research directions Int. J. Health Geogr. (IF 3.239) Pub Date : 2021-01-07 Roula Zougheibe; Jianhong (Cecilia) Xia; Ashraf Dewan; Ori Gudes; Richard Norman
Numerous studies have examined the association between safety and primary school-aged children’s forms of active mobility. However, variations in studies’ measurement methods and the elements addressed have contributed to inconsistencies in research outcomes, which may be forming a barrier to advancing researchers’ knowledge about this field. To assess where current research stands, we have synthesised
-
Correction to: Beyond the map: evidencing the spatial dimension of health inequalities Int. J. Health Geogr. (IF 3.239) Pub Date : 2021-01-04 Yohan Fayet; Delphine Praud; Béatrice Fervers; Isabelle Ray-Coquard; Jean-Yves Blay; Françoise Ducimetiere; Guy Fagherazzi; Elodie Faure
An amendment to this paper has been published and can be accessed via the original article.
-
Associations between ultraviolet radiation, tree cover and adolescent sunburns Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-12-14 Calvin P. Tribby; Anne K. Julian; April Y. Oh; Frank M. Perna; David Berrigan
Sunburn is the strongest risk factor for melanoma and non-melanoma skin cancers. Adolescent sunburns are related to higher risk of developing melanoma later in life. Little is known about the association of sunburns and shade, particularly tree cover, around adolescent homes and schools. This linkage study assessed associations of adolescent self-reported sunburns with ambient ultraviolet radiation
-
Landscape disturbance impacts on Attalea butyracea palm distribution in central Panama Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-12-09 Caitlin E. Mertzlufft; Marguerite Madden; Nicole L. Gottdenker; Julie Velásquez Runk; Azael Saldaña; Susan Tanner; José E. Calzada; Xiaobai Yao
Increased Attalea butyracea palm propagation, notable for its role as key habitat for the primary Chagas disease vector in Panama, has been linked to landscape disturbance in single-palm observations in this region. Close proximity of these palms to human dwellings is proposed to increase risk of Chagas disease transmission from sylvatic transmission cycles to domestic transmission involving human
-
Location inference for hidden population with online text analysis Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-12-09 Chuchu Liu; Ziqiang Cao; Xin Lu
Understanding the geographic distribution of hidden population, such as men who have sex with men (MSM), sex workers, or injecting drug users, are of great importance for the adequate deployment of intervention strategies and public health decision making. However, due to the hard-to-access properties, e.g., lack of a sampling frame, sensitivity issue, reporting error, etc., traditional survey methods
-
Beyond the map: evidencing the spatial dimension of health inequalities Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-09 Fayet Yohan; Praud Delphine; Fervers Béatrice; Ray-Coquard Isabelle; Blay Jean-Yves; Ducimetiere Françoise; Fagherazzi Guy; Faure Elodie
Spatial inequalities in health result from different exposures to health risk factors according to the features of geographical contexts, in terms of physical environment, social deprivation, and health care accessibility. Using a common geographical referential, which combines indices measuring these contextual features, could improve the comparability of studies and the understanding of the spatial
-
Feasibility of satellite image and GIS sampling for population representative surveys: a case study from rural Guatemala Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-12-05 Ann C. Miller; Peter Rohloff; Alexandre Blake; Eloin Dhaenens; Leah Shaw; Eva Tuiz; Francesco Grandesso; Carlos Mendoza Montano; Dana R. Thomson
Population-representative household survey methods require up-to-date sampling frames and sample designs that minimize time and cost of fieldwork especially in low- and middle-income countries. Traditional methods such as multi-stage cluster sampling, random-walk, or spatial sampling can be cumbersome, costly or inaccurate, leading to well-known biases. However, a new tool, Epicentre’s Geo-Sampler
-
Stress and perceived health among primary care visitors in two corners of Europe: Scandinavia and Greece Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-12-04 Jenny Koppner; Marios Chatziarzenis; Tomas Faresjö; Elvar Theodorsson; Annika Thorsell; Staffan Nilsson; Ole Olsen; Åshild Faresjö
The global financial crisis emerging in 2008 struck Greece especially hard, whereas Scandinavian countries were less affected. This has created a unique opportunity to study the long-term effect of community stress on populations. Increasing frequencies of mental health issues and poorer perceived health among the Greek population have been reported. The physiological marker of long-term stress, cortisol
-
Beyond standardized mortality ratios; some uses of smoothed age-specific mortality rates on small areas studies Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-12-04 Jordi Perez-Panades; Paloma Botella-Rocamora; Miguel Angel Martinez-Beneito
Most epidemiological risk indicators strongly depend on the age composition of populations, which makes the direct comparison of raw (unstandardized) indicators misleading because of the different age structures of the spatial units of study. Age-standardized rates (ASR) are a common solution for overcoming this confusing effect. The main drawback of ASRs is that they depend on age-specific rates which
-
The associations between social, built and geophysical environment and age-specific dementia mortality among older adults in a high-density Asian city Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-12-04 Hung Chak Ho; Kenneth N. K. Fong; Ta-Chien Chan; Yuan Shi
Although socio-environmental factors which may affect dementia have widely been studied, the mortality of dementia and socio-environmental relationships among older adults have seldom been discussed. A retrospective, observational study based on territory-wide register-based data was conducted to evaluate the relationships of four individual-level social measures, two community-level social measures
-
Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-26 Weicong Luo; Jing Yao; Richard Mitchell; Xiaoxiang Zhang
Access as a primary indicator of Emergency Medical Service (EMS) efficiency has been widely studied over the last few decades. Most previous studies considered one-way trips, either getting ambulances to patients or transporting patients to hospitals. This research assesses spatiotemporal access to EMS at the shequ (the smallest administrative unit) level in Wuhan, China, attempting to fill a gap in
-
Neighborhood environment and muscle mass and function among rural older adults: a 3-year longitudinal study Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-25 Kenta Okuyama; Takafumi Abe; Shozo Yano; Kristina Sundquist; Toru Nabika
Sarcopenia, resulting from loss of muscle mass and function, is highly prevalent in the ageing societies and is associated with risk of falls, frailty, loss of independence, and mortality. It is important to identify environmental risk factors, so that evidence-based interventions to prevent sarcopenia can be implemented at the population level. This study aimed to examine the potential effect of several
-
Geographic Ecological Momentary Assessment (GEMA) of environmental noise annoyance: the influence of activity context and the daily acoustic environment Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-23 Xue Zhang; Suhong Zhou; Mei-Po Kwan; Lingling Su; Junwen Lu
Noise annoyance is considered to be the most widespread and recognized health effect of environmental noise. Previous research is mostly based on the static study of residential environmental noise, but few studies have focused on the effects of noise exposure in different activity contexts on real-time annoyance. The two deficiency are that they neglect the influence of activity context besides residence
-
Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-13 Jeroen Lakerveld; Alfred Wagtendonk; Ilonca Vaartjes; Derek Karssenberg
Environmental exposures are increasingly investigated as possible drivers of health behaviours and disease outcomes. So-called exposome studies that aim to identify and better understand the effects of exposures on behaviours and disease risk across the life course require high-quality environmental exposure data. The Netherlands has a great variety of environmental data available, including high spatial
-
Neighbourhood environment and depressive symptoms among the elderly in Hong Kong and Singapore Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-13 Winnie W. Y. Lam; Becky P. Y. Loo; Rathi Mahendran
Geriatric depression is a growing public health issue worldwide. This study aims at identifying the relevant neighbourhood attributes, separate from the individual-level characteristics, that are related to the onset of depressive disorders among the geriatric population. This study adopts a structural equation modelling (SEM) approach to understand the effect of the neighbourhood environment on geriatric
-
Measuring the association of objective and perceived neighborhood environment with physical activity in older adults: challenges and implications from a systematic review Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-09 Manuela Peters; Saskia Muellmann; Lara Christianson; Imke Stalling; Karin Bammann; Carina Drell; Sarah Forberger
A supportive environment is a key factor in addressing the issue of health among older adults. There is already sufficient evidence that objective and self-reported measures of the neighborhood environment should be taken into account as crucial components of active aging, as they have been shown to influence physical activity; particularly in people aged 60+. Thus, both could inform policies and practices
-
Who lacks and who benefits from diet diversity: evidence from (impact) profiling for children in Zimbabwe Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-04 Remco Oostendorp; Lia van Wesenbeeck; Ben Sonneveld; Precious Zikhali
The impact of diet diversity—defined as the number of different foods or food groups consumed over a given reference period—on child nutrition outcomes strongly interacts with agro-ecological, institutional, and socio-economic drivers of child food and nutrition security. Yet, the literature on the impact of diet diversity typically estimates average treatment effects, largely ignoring impact heterogeneity
-
Influence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-11-02 Matthew J. Watts; Panagiota Kotsila; P. Graham Mortyn; Victor Sarto i Monteys; Cesira Urzi Brancati
This study examines the impact of climate, socio-economic and demographic factors on the incidence of dengue in regions of the United States and Mexico. We select factors shown to predict dengue at a local level and test whether the association can be generalized to the regional or state level. In addition, we assess how different indicators perform compared to per capita gross domestic product (GDP)
-
Bayesian spatial modelling of early childhood development in Australian regions Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-10-19 Mu Li; Bernard Baffour; Alice Richardson
Children’s early development plays a vital role for maintaining healthy lives and influences future outcomes. It is also heavily affected by community factors which vary geographically. Direct methods do not provide a comprehensive picture of this variation, especially for areas with sparse populations and low data coverage. In the context of Australia, the Australian Early Development Census (AEDC)
-
Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-10-17 Farzana Jahan; Earl W. Duncan; Susana M. Cramb; Peter D. Baade; Kerrie L. Mengersen
Cancer atlases often provide estimates of cancer incidence, mortality or survival across small areas of a region or country. A recent example of a cancer atlas is the Australian cancer atlas (ACA), that provides interactive maps to visualise spatially smoothed estimates of cancer incidence and survival for 20 different cancer types over 2148 small areas across Australia. The present study proposes
-
Geospatial estimation of reproductive, maternal, newborn and child health indicators: a systematic review of methodological aspects of studies based on household surveys Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-10-13 Leonardo Z. Ferreira; Cauane Blumenberg; C. Edson Utazi; Kristine Nilsen; Fernando P. Hartwig; Andrew J. Tatem; Aluisio J. D. Barros
Geospatial approaches are increasingly used to produce fine spatial scale estimates of reproductive, maternal, newborn and child health (RMNCH) indicators in low- and middle-income countries (LMICs). This study aims to describe important methodological aspects and specificities of geospatial approaches applied to RMNCH coverage and impact outcomes and enable non-specialist readers to critically evaluate
-
Overcoming inefficiencies arising due to the impact of the modifiable areal unit problem on single-aggregation disease maps Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-10-03 Matthew Tuson; Matthew Yap; Mei Ruu Kok; Bryan Boruff; Kevin Murray; Alistair Vickery; Berwin A. Turlach; David Whyatt
In disease mapping, fine-resolution spatial health data are routinely aggregated for various reasons, for example to protect privacy. Usually, such aggregation occurs only once, resulting in ‘single-aggregation disease maps’ whose representation of the underlying data depends on the chosen set of aggregation units. This dependence is described by the modifiable areal unit problem (MAUP). Despite an
-
Evaluating the impact of a small number of areas on spatial estimation Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-09-25 Aswi Aswi; Susanna Cramb; Earl Duncan; Kerrie Mengersen
There is an expanding literature on different representations of spatial random effects for different types of spatial correlation structure within the conditional autoregressive class of priors for Bayesian spatial models. However, little is known about the impact of these different priors when the number of areas is small. This paper aimed to investigate this problem both in the context of a case
-
Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-09-21 Stefanos Georganos,Oscar Brousse,Sébastien Dujardin,Catherine Linard,Daniel Casey,Marco Milliones,Benoit Parmentier,Nicole P M van Lipzig,Matthias Demuzere,Tais Grippa,Sabine Vanhuysse,Nicholus Mboga,Verónica Andreo,Robert W Snow,Moritz Lennert
The rapid and often uncontrolled rural–urban migration in Sub-Saharan Africa is transforming urban landscapes expected to provide shelter for more than 50% of Africa’s population by 2030. Consequently, the burden of malaria is increasingly affecting the urban population, while socio-economic inequalities within the urban settings are intensified. Few studies, relying mostly on moderate to high resolution
-
Differentiating anomalous disease intensity with confounding variables in space. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-09-14 Chih-Chieh Wu,Sanjay Shete
The investigation of perceived geographical disease clusters serves as a preliminary step that expedites subsequent etiological studies and analysis of epidemicity. With the identification of disease clusters of statistical significance, to determine whether or not the detected disease clusters can be explained by known or suspected risk factors is a logical next step. The models allowing for confounding
-
Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-09-14 Jeon-Young Kang,Alexander Michels,Fangzheng Lyu,Shaohua Wang,Nelson Agbodo,Vincent L Freeman,Shaowen Wang
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and caused hundreds of thousands of deaths. While COVID-19 has overwhelmed healthcare resources (e.g., healthcare personnel, testing resources, hospital beds, and ventilators) in a number of countries, limited research has been conducted to understand
-
Adults' leisure-time physical activity and the neighborhood built environment: a contextual perspective. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-09-11 Anna Kajosaari,Tiina E Laatikainen
Context-free outcome measures, such as overall leisure-time physical activity (LTPA), are habitually applied to study the neighborhood built environment correlates of physical activity. This cross sectional study identifies and empirically tests potential methodological limitations related to the use of context-free measures and discusses how these may help in the interpretation of inconsistent associations
-
Gridded population survey sampling: a systematic scoping review of the field and strategic research agenda. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-09-09 Dana R Thomson,Dale A Rhoda,Andrew J Tatem,Marcia C Castro
In low- and middle-income countries (LMICs), household survey data are a main source of information for planning, evaluation, and decision-making. Standard surveys are based on censuses, however, for many LMICs it has been more than 10 years since their last census and they face high urban growth rates. Over the last decade, survey designers have begun to use modelled gridded population estimates as
-
Detecting multiple spatial disease clusters: information criterion and scan statistic approach. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-09-02 Kunihiko Takahashi,Hideyasu Shimadzu
Detecting the geographical tendency for the presence of a disease or incident is, particularly at an early stage, a key challenge for preventing severe consequences. Given recent rapid advancements in information technologies, it is required a comprehensive framework that enables simultaneous detection of multiple spatial clusters, whether disease cases are randomly scattered or clustered around specific
-
A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-08-13 Christopher Scarpone,Sebastian T Brinkmann,Tim Große,Daniel Sonnenwald,Martin Fuchs,Blake Byron Walker
As of 13 July 2020, 12.9 million COVID-19 cases have been reported worldwide. Prior studies have demonstrated that local socioeconomic and built environment characteristics may significantly contribute to viral transmission and incidence rates, thereby accounting for some of the spatial variation observed. Due to uncertainties, non-linearities, and multiple interaction effects observed in the associations
-
Virtual audits of the urban streetscape: comparing the inter-rater reliability of GigaPan® to Google Street View. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-08-12 Katherine N Bromm,Ian-Marshall Lang,Erica E Twardzik,Cathy L Antonakos,Tamara Dubowitz,Natalie Colabianchi
Although previous research has highlighted the association between the built environment and individual health, methodological challenges in assessing the built environment remain. In particular, many researchers have demonstrated the high inter-rater reliability of assessing large or objective built environment features and the low inter-rater reliability of assessing small or subjective built environment
-
Estimating health service utilization potential using the supply-concentric demand-accumulation spatial availability index: a pulmonary rehabilitation case study. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-08-03 Kevin A Matthews,Anne H Gaglioti,James B Holt,Anne G Wheaton,Janet B Croft
The potential for a population at a given location to utilize a health service can be estimated using a newly developed measure called the supply-concentric demand accumulation (SCDA) spatial availability index. Spatial availability is the amount of demand at the given location that can be satisfied by the supply of services at a facility, after discounting the intervening demand among other populations
-
Prediction of hospital visits for the general inpatient care using floating catchment area methods: a reconceptualization of spatial accessibility. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-07-27 J Bauer,D Klingelhöfer,W Maier,L Schwettmann,D A Groneberg
The adequate allocation of inpatient care resources requires assumptions about the need for health care and how this need will be met. However, in current practice, these assumptions are often based on outdated methods (e.g. Hill-Burton Formula). This study evaluated floating catchment area (FCA) methods, which have been applied as measures of spatial accessibility, focusing on their ability to predict
-
Modeling spatial access to cervical cancer screening services in Ondo State, Nigeria. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-07-21 Kathleen Stewart,Moying Li,Zhiyue Xia,Stephen Ayodele Adewole,Olusegun Adeyemo,Clement Adebamowo
Women in low- and middle-income countries (LMIC) remain at high risk of developing cervical cancer and have limited access to screening programs. The limits include geographical barriers related to road network characteristics and travel behaviors but these have neither been well studied in LMIC nor have methods to overcome them been incorporated into cervical cancer screening delivery programs. To
-
Improving geographical accessibility modeling for operational use by local health actors. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-07-06 Felana Angella Ihantamalala,Vincent Herbreteau,Christophe Révillion,Mauricianot Randriamihaja,Jérémy Commins,Tanjona Andréambeloson,Feno H Rafenoarimalala,Andriamihaja Randrianambinina,Laura F Cordier,Matthew H Bonds,Andres Garchitorena
Geographical accessibility to health facilities remains one of the main barriers to access care in rural areas of the developing world. Although methods and tools exist to model geographic accessibility, the lack of basic geographic information prevents their widespread use at the local level for targeted program implementation. The aim of this study was to develop very precise, context-specific estimates
-
Street masking: a network-based geographic mask for easily protecting geoprivacy. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-07-06 David Swanlund,Nadine Schuurman,Paul Zandbergen,Mariana Brussoni
Geographic masks are techniques used to protect individual privacy in published maps but are highly under-utilized in research. This leads to continual violations of individual privacy, as sensitive health records are put at risk in unmasked maps. New approaches to geographic masking are required that foster accessibility and ease of use, such that they become more widely adopted. This article describes
-
Geostatistical COVID-19 infection risk maps for Portugal. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-07-06 Leonardo Azevedo,Maria João Pereira,Manuel C Ribeiro,Amílcar Soares
The rapid spread of the SARS-CoV-2 epidemic has simultaneous time and space dynamics. This behaviour results from a complex combination of factors, including social ones, which lead to significant differences in the evolution of the spatiotemporal pattern between and within countries. Usually, spatial smoothing techniques are used to map health outcomes, and rarely uncertainty of the spatial predictions
-
A spatially explicit analysis of chronic diseases in small areas: a case study of diabetes in Santiago, Chile. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-06-23 Ricardo Crespo,Claudio Alvarez,Ignacio Hernandez,Christian García
There is a strong spatial correlation between demographics and chronic diseases in urban areas. Thus, most of the public policies aimed at improving prevention plans and optimizing the allocation of resources in health networks should be designed specifically for the socioeconomic reality of the population. One way to tackle this challenge is by exploring within a small geographical area the spatial
-
Urban-rural disparity in the relationship between ambient air pollution and preterm birth. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-06-20 Long Li,Jing Ma,Yang Cheng,Ling Feng,Shaoshuai Wang,Xiao Yun,Shu Tao
Some studies have reported that air pollution exposure can have adverse effects on pregnancy outcomes. However, the disparity between urban and rural areas in the risk of preterm birth (PTB) has yet to be elucidated. Considering geographic contexts as homogeneous or ignoring urban–rural differences cannot accurately reveal the disparities in the health effects of air pollution under different geographic
-
The association between spatial access to physical activity facilities within home and workplace neighborhoods and time spent on physical activities: evidence from Guangzhou, China. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-06-20 Ye Liu,Xiaoge Wang,Suhong Zhou,Wenjie Wu
Urban residents from the developing world have increasingly adopted a sedentary lifestyle and spend less time on physical activities (PA). Previous studies on the association between PA facilities and individuals’ PA levels are based on the assumption that individuals have opportunities to use PA facilities within neighborhoods all day long, ignoring the fact that their willingness and opportunities
-
Spatial predictive properties of built environment characteristics assessed by drop-and-spin virtual neighborhood auditing. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-05-29 Jesse J Plascak,Mario Schootman,Andrew G Rundle,Cathleen Xing,Adana A M Llanos,Antoinette M Stroup,Stephen J Mooney
Virtual neighborhood audits have been used to visually assess characteristics of the built environment for health research. Few studies have investigated spatial predictive properties of audit item responses patterns, which are important for sampling efficiency and audit item selection. We investigated the spatial properties, with a focus on predictive accuracy, of 31 individual audit items related
-
Gender-based vulnerability: combining Pareto ranking and spatial statistics to model gender-based vulnerability in Rohingya refugee settlements in Bangladesh. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-05-29 Erica L Nelson,Daniela Reyes Saade,P Gregg Greenough
The Rohingya refugee crisis in Bangladesh continues to outstrip humanitarian resources and undermine the health and security of over 900,000 people. Spatial, sector-specific information is required to better understand the needs of vulnerable populations, such as women and girls, and to target interventions with improved efficiency and effectiveness. This study aimed to create a gender-based vulnerability
-
Spatio-temporal distribution of negative emotions on Twitter during floods in Chennai, India, in 2015: a post hoc analysis. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-05-28 Dhivya Karmegam,Bagavandas Mappillairaju
Natural disasters are known to take their psychological toll immediately, and over the long term, on those living through them. Messages posted on Twitter provide an insight into the state of mind of citizens affected by such disasters and provide useful data on the emotional impact on groups of people. In 2015, Chennai, the capital city of Tamil Nadu state in southern India, experienced unprecedented
-
Risk of late cervical cancer screening in the Paris region according to social deprivation and medical densities in daily visited neighborhoods. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-05-28 Médicoulé Traoré,Julie Vallée,Pierre Chauvin
Social and physical characteristics of the daily visited neighborhoods have gained an extensive interest in analyzing socio-territorial inequalities in health and healthcare. The objective of the present paper is to estimate and discuss the role of individual and contextual factors on participation in preventive health-care activities (smear screening) in the Greater Paris area focusing on the characteristics
-
Correction to: A geographic identifier assignment algorithm with Bayesian variable selection to identify neighborhood factors associated with emergency department visit disparities for asthma. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-04-21 Matthew Bozigar,Andrew Lawson,John Pearce,Kathryn King,Erik Svendsen
Unfortunately, the original version of the article [1] contained an error. A typo in the main equation (Eq. 1) has been introduced during the production process. The operator " = " in Eq. 1 "log(θik) = α + ui…" was missing.
-
Distance sampling for epidemiology: an interactive tool for estimating under-reporting of cases from clinic data. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-04-20 Luca Nelli,Moussa Guelbeogo,Heather M Ferguson,Daouda Ouattara,Alfred Tiono,Sagnon N'Fale,Jason Matthiopoulos
BACKGROUND Distance sampling methods are widely used in ecology to estimate and map the abundance of animal and plant populations from spatial survey data. The key underlying concept in distance sampling is the detection function, the probability of detecting the occurrence of an event as a function of its distance from the observer, as well as other covariates that may influence detection. In epidemiology
-
Bayesian spatial modelling of childhood cancer incidence in Switzerland using exact point data: a nationwide study during 1985-2015. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-04-17 Garyfallos Konstantinoudis,Dominic Schuhmacher,Roland A Ammann,Tamara Diesch,Claudia E Kuehni,Ben D Spycher,,
BACKGROUND The aetiology of most childhood cancers is largely unknown. Spatially varying environmental factors such as traffic-related air pollution, background radiation and agricultural pesticides might contribute to the development of childhood cancer. This study is the first investigation of the spatial disease mapping of childhood cancers using exact geocodes of place of residence. METHODS We
-
How urban densification shapes walking behaviours in older community dwellers: a cross-sectional analysis of potential pathways of influence. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-04-16 Ester Cerin,Anthony Barnett,Casper J P Zhang,Poh-Chin Lai,Cindy H P Sit,Ruby S Y Lee
BACKGROUND Population growth, population ageing, and urbanisation are major global demographic trends that call for an examination of the impact of urban densification on older adults' health-enhancing behaviours, such as walking. No studies have examined the pathways through which urban densification may affect older adults' walking. This information is key to evidence-based, health-oriented urban
-
Detecting geospatial patterns of Plasmodium falciparum parasite migration in Cambodia using optimized estimated effective migration surfaces. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-04-10 Yao Li,Amol C Shetty,Chanthap Lon,Michele Spring,David L Saunders,Mark M Fukuda,Tran Tinh Hien,Sasithon Pukrittayakamee,Rick M Fairhurst,Arjen M Dondorp,Christopher V Plowe,Timothy D O'Connor,Shannon Takala-Harrison,Kathleen Stewart
BACKGROUND Understanding the genetic structure of natural populations provides insight into the demographic and adaptive processes that have affected those populations. Such information, particularly when integrated with geospatial data, can have translational applications for a variety of fields, including public health. Estimated effective migration surfaces (EEMS) is an approach that allows visualization
-
GIS-modelled built-environment exposures reflecting daily mobility for applications in child health research. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-04-10 Amy Mizen,Richard Fry,Sarah Rodgers
BACKGROUND Inaccurately modelled environmental exposures may have important implications for evidence-based policy targeting health promoting or hazardous facilities. Travel routes modelled using GIS generally use shortest network distances or Euclidean buffers to represent journeys with corresponding built-environment exposures calculated along these routes. These methods, however, are an unreliable
-
Targeting the spatial context of obesity determinants via multiscale geographically weighted regression. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-04-05 Taylor M Oshan,Jordan P Smith,A Stewart Fotheringham
BACKGROUND Obesity rates are recognized to be at epidemic levels throughout much of the world, posing significant threats to both the health and financial security of many nations. The causes of obesity can vary but are often complex and multifactorial, and while many contributing factors can be targeted for intervention, an understanding of where these interventions are needed is necessary in order
-
Using gridded population and quadtree sampling units to support survey sample design in low-income settings. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-03-26 Sarchil Hama Qader,Veronique Lefebvre,Andrew J Tatem,Utz Pape,Warren Jochem,Kristen Himelein,Amy Ninneman,Philip Wolburg,Gonzalo Nunez-Chaim,Linus Bengtsson,Tomas Bird
BACKGROUND Household surveys are the main source of demographic, health and socio-economic data in low- and middle-income countries (LMICs). To conduct such a survey, census population information mapped into enumeration areas (EAs) typically serves a sampling frame from which to generate a random sample. However, the use of census information to generate this sample frame can be problematic as in
-
A geographic identifier assignment algorithm with Bayesian variable selection to identify neighborhood factors associated with emergency department visit disparities for asthma. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-03-18 Matthew Bozigar,Andrew Lawson,John Pearce,Kathryn King,Erik Svendsen
BACKGROUND Ecologic health studies often rely on outcomes from health service utilization data that are limited by relatively coarse spatial resolutions and missing geographic information, particularly neighborhood level identifiers. When fine-scale geographic data are missing, the ramifications and strategies for addressing them are not well researched or developed. This study illustrates a novel
-
Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-03-11 Maged N Kamel Boulos,Estella M Geraghty
In December 2019, a new virus (initially called 'Novel Coronavirus 2019-nCoV' and later renamed to SARS-CoV-2) causing severe acute respiratory syndrome (coronavirus disease COVID-19) emerged in Wuhan, Hubei Province, China, and rapidly spread to other parts of China and other countries around the world, despite China's massive efforts to contain the disease within Hubei. As with the original SARS-CoV
-
Daily activity locations k-anonymity for the evaluation of disclosure risk of individual GPS datasets. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-03-05 Jue Wang,Mei-Po Kwan
BACKGROUND Personal privacy is a significant concern in the era of big data. In the field of health geography, personal health data are collected with geographic location information which may increase disclosure risk and threaten personal geoprivacy. Geomasking is used to protect individuals' geoprivacy by masking the geographic location information, and spatial k-anonymity is widely used to measure
-
Dealing with spatial misalignment to model the relationship between deprivation and life expectancy: a model-based geostatistical approach. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-03-04 Olatunji Johnson,Peter Diggle,Emanuele Giorgi
BACKGROUND : Life expectancy at birth (LEB), one of the main indicators of human longevity, has often been used to characterise the health status of a population. Understanding its relationships with the deprivation is key to develop policies and evaluate interventions that are aimed at reducing health inequalities. However, methodological challenges in the analysis of LEB data arise from the fact
-
Bayesian spatiotemporal modeling with sliding windows to correct reporting delays for real-time dengue surveillance in Thailand. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-03-03 Chawarat Rotejanaprasert,Nattwut Ekapirat,Darin Areechokchai,Richard J Maude
BACKGROUND The ability to produce timely and accurate estimation of dengue cases can significantly impact disease control programs. A key challenge for dengue control in Thailand is the systematic delay in reporting at different levels in the surveillance system. Efficient and reliable surveillance and notification systems are vital to monitor health outcome trends and early detection of disease outbreaks
-
A network analysis framework to improve the delivery of mosquito abatement services in Machala, Ecuador. Int. J. Health Geogr. (IF 3.239) Pub Date : 2020-02-11 Catherine A Lippi,Liang Mao,Anna M Stewart-Ibarra,Naveed Heydari,Efraín Beltrán Ayala,Nathan D Burkett-Cadena,Jason K Blackburn,Sadie J Ryan
BACKGROUND Vector-borne disease places a high health and economic burden in the American tropics. Comprehensive vector control programs remain the primary method of containing local outbreaks. With limited resources, many vector control operations struggle to serve all affected communities within their districts. In the coastal city of Machala, Ecuador, vector control services, such as application