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Neighborhood AND spatial modeling

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https://www.readbyqxmd.com/read/28208207/-spatial-distribution-of-type-2-diabetes-mellitus-in-berlin-application-of-a-geographically-weighted-regression-analysis-to-identify-location-specific-risk-groups
#1
Boris Kauhl, Jonas Pieper, Jürgen Schweikart, Andrea Keste, Marita Moskwyn
Understanding which population groups in which locations are at higher risk for type 2 diabetes mellitus (T2DM) allows efficient and cost-effective interventions targeting these risk-populations in great need in specific locations. The goal of this study was to analyze the spatial distribution of T2DM and to identify the location-specific, population-based risk factors using global and local spatial regression models. To display the spatial heterogeneity of T2DM, bivariate kernel density estimation was applied...
February 16, 2017: Das Gesundheitswesen
https://www.readbyqxmd.com/read/28160971/inter-relationships-between-objective-and-subjective-measures-of-the-residential-environment-among-urban-african-american-women
#2
Shawnita Sealy-Jefferson, Lynne Messer, Jaime Slaughter-Acey, Dawn P Misra
PURPOSE: The inter-relationships between objective (census based) and subjective (resident reported) measures of the residential environment is understudied in African American (AA) populations. METHODS: Using data from the Life Influences on Fetal Environments Study (2009-2011; n = 1387) of AA women, we quantified the area-level variation in subjective reports of residential healthy food availability, walkability, safety, and disorder that can be accounted for with an objective neighborhood disadvantage index (NDI)...
December 14, 2016: Annals of Epidemiology
https://www.readbyqxmd.com/read/28155876/failure-and-recovery-in-dynamical-networks
#3
L Böttcher, M Luković, J Nagler, S Havlin, H J Herrmann
Failure, damage spread and recovery crucially underlie many spatially embedded networked systems ranging from transportation structures to the human body. Here we study the interplay between spontaneous damage, induced failure and recovery in both embedded and non-embedded networks. In our model the network's components follow three realistic processes that capture these features: (i) spontaneous failure of a component independent of the neighborhood (internal failure), (ii) failure induced by failed neighboring nodes (external failure) and (iii) spontaneous recovery of a component...
February 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28145983/statistical-methods-to-study-variation-in-associations-between-food-store-availability-and-body-mass-in-the-multi-ethnic-study-of-atherosclerosis
#4
Jonggyu Baek, Jana A Hirsch, Kari Moore, Loni Philip Tabb, Tonatiuh Barrientos-Gutierrez, Lynda D Lisabeth, Ana V Diez-Roux, Brisa N Sánchez
Research linking characteristics of the neighborhood environment to health has relied on traditional regression methods where pre-specified distances from participant's locations or areas are used to operationalize neighborhood-level measures. Since the relevant spatial scale of neighborhood environment measures may differ across places or individuals, using pre-specified distances could result in biased association estimates or efficiency losses. We use novel hierarchical distributed lag models and data from the Multi-ethnic Study of Atherosclerosis (MESA) to: 1) examine whether and how the association between the availability of favorable food stores and body mass index (BMI) depends on continuous distance from participant locations (instead of traditional buffers), thus allowing us to indirectly infer the spatial scale at which this association operates; 2) examine if the spatial scale and magnitude of the association differs across six MESA sites and 3) across individuals...
January 31, 2017: Epidemiology
https://www.readbyqxmd.com/read/28137675/relative-risk-for-hiv-in-india-an-estimate-using-conditional-auto-regressive-models-with-bayesian-approach
#5
Chandrasekaran Kandhasamy, Kaushik Ghosh
Indian states are currently classified into HIV-risk categories based on the observed prevalence counts, percentage of infected attendees in antenatal clinics, and percentage of infected high-risk individuals. This method, however, does not account for the spatial dependence among the states nor does it provide any measure of statistical uncertainty. We provide an alternative model-based approach to address these issues. Our method uses Poisson log-normal models having various conditional autoregressive structures with neighborhood-based and distance-based weight matrices and incorporates all available covariate information...
February 2017: Spatial and Spatio-temporal Epidemiology
https://www.readbyqxmd.com/read/28125928/conditional-overdispersed-models-application-to-count-area-data
#6
Edilberto Cepeda-Cuervo, Michel Córdoba, Vicente Núñez-Antón
This paper proposes alternative models for the analysis of count data featuring a given spatial structure, which corresponds to geographical areas. We assume that the overdispersion data structure partially results from the existing and well justified spatial correlation between geographical adjacent regions, so an extension of existing overdispersion models that include spatial neighborhood structures within a Bayesian framework is proposed. These models allow practitioners to quantify the association explained by the considered neighborhood structures and the one modelled by additional factors...
January 1, 2017: Statistical Methods in Medical Research
https://www.readbyqxmd.com/read/28114945/international-comparison-of-observation-specific-spatial-buffers-maximizing-the-ability-to-estimate-physical-activity
#7
Lawrence D Frank, Eric H Fox, Jared M Ulmer, James E Chapman, Suzanne E Kershaw, James F Sallis, Terry L Conway, Ester Cerin, Kelli L Cain, Marc A Adams, Graham R Smith, Erica Hinckson, Suzanne Mavoa, Lars B Christiansen, Adriano Akira F Hino, Adalberto A S Lopes, Jasper Schipperijn
BACKGROUND: Advancements in geographic information systems over the past two decades have increased the specificity by which an individual's neighborhood environment may be spatially defined for physical activity and health research. This study investigated how different types of street network buffering methods compared in measuring a set of commonly used built environment measures (BEMs) and tested their performance on associations with physical activity outcomes. METHODS: An internationally-developed set of objective BEMs using three different spatial buffering techniques were used to evaluate the relative differences in resulting explanatory power on self-reported physical activity outcomes...
January 23, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28114342/spatial-analysis-of-dengue-seroprevalence-and-modeling-of-transmission-risk-factors-in-a-dengue-hyperendemic-city-of-venezuela
#8
Maria F Vincenti-Gonzalez, María-Eugenia Grillet, Zoraida I Velasco-Salas, Erley F Lizarazo, Manuel A Amarista, Gloria M Sierra, Guillermo Comach, Adriana Tami
BACKGROUND: Dengue virus (DENV) transmission is spatially heterogeneous. Hence, to stratify dengue prevalence in space may be an efficacious strategy to target surveillance and control efforts in a cost-effective manner particularly in Venezuela where dengue is hyperendemic and public health resources are scarce. Here, we determine hot spots of dengue seroprevalence and the risk factors associated with these clusters using local spatial statistics and a regression modeling approach. METHODOLOGY/PRINCIPAL FINDINGS: From August 2010 to January 2011, a community-based cross-sectional study of 2012 individuals in 840 households was performed in high incidence neighborhoods of a dengue hyperendemic city in Venezuela...
January 2017: PLoS Neglected Tropical Diseases
https://www.readbyqxmd.com/read/28113657/accurate-lungs-segmentation-on-ct-chest-images-by-adaptive-appearance-guided-shape-modeling
#9
Ahmed Soliman, Fahmi Khalifa, Ahmed Elnakib, Mohamed Abou El-Ghar, Neal Dunlap, Brian Wang, Georgy Gimel'farb, Robert Keynton, Ayman El-Baz
To accurately segment pathological and healthy lungs for reliable computer-aided disease diagnostics, a stack of chest CT scans is modeled as a sample of a spatially inhomogeneous joint 3D Markov-Gibbs random field (MGRF) of voxel-wise lung and chest CT image signals (intensities). The proposed learnable MGRF integrates two visual appearance sub models with an adaptive lung shape submodel. The first-order appearance submodel accounts for both the original CT image and its Gaussian scale space (GSS) filtered version to specify local and global signal properties, respectively...
September 12, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28099997/on-joint-estimation-of-gaussian-graphical-models-for-spatial-and-temporal-data
#10
Zhixiang Lin, Tao Wang, Can Yang, Hongyu Zhao
In this article, we first propose a Bayesian neighborhood selection method to estimate Gaussian Graphical Models (GGMs). We show the graph selection consistency of this method in the sense that the posterior probability of the true model converges to one. When there are multiple groups of data available, instead of estimating the networks independently for each group, joint estimation of the networks may utilize the shared information among groups and lead to improved estimation for each individual network...
January 18, 2017: Biometrics
https://www.readbyqxmd.com/read/28054599/estimating-risks-of-inapparent-avian-exposure-for-human-infection-avian-influenza-virus-a-h7n9-in-zhejiang-province-china
#11
Erjia Ge, Renjie Zhang, Dengkui Li, Xiaolin Wei, Xiaomeng Wang, Poh-Chin Lai
Inapparent avian exposure was suspected for the sporadic infection of avian influenza A(H7N9) occurring in China. This type of exposure is usually unnoticed and difficult to model and measure. Infected poultry with avian influenza H7N9 virus typically remains asymptomatic, which may facilitate infection through inapparent poultry/bird exposure, especially in a country with widespread practice of backyard poultry. The present study proposed a novel approach that integrated ecological and case-control methods to quantify the risk of inapparent avian exposure on human H7N9 infection...
January 5, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28045950/a-rough-set-bounded-spatially-constrained-asymmetric-gaussian-mixture-model-for-image-segmentation
#12
Zexuan Ji, Yubo Huang, Quansen Sun, Guo Cao, Yuhui Zheng
Accurate image segmentation is an important issue in image processing, where Gaussian mixture models play an important part and have been proven effective. However, most Gaussian mixture model (GMM) based methods suffer from one or more limitations, such as limited noise robustness, over-smoothness for segmentations, and lack of flexibility to fit data. In order to address these issues, in this paper, we propose a rough set bounded asymmetric Gaussian mixture model with spatial constraint for image segmentation...
2017: PloS One
https://www.readbyqxmd.com/read/28041980/a-family-of-locally-constrained-cca-models-for-detecting-activation-patterns-in-fmri
#13
Xiaowei Zhuang, Zhengshi Yang, Tim Curran, Richard Byrd, Rajesh Nandy, Dietmar Cordes
Canonical correlation analysis (CCA) has been used in Functional Magnetic Resonance Imaging (fMRI) for improved detection of activation by incorporating time series from multiple voxels in a local neighborhood. To improve the specificity of local CCA methods, spatial constraints were previously proposed. In this study, constraints are generalized by introducing a family model of spatial constraints for CCA to further increase both sensitivity and specificity in fMRI activation detection. The proposed locally-constrained CCA (cCCA) model is formulated in terms of a multivariate constrained optimization problem and solved efficiently with numerical optimization techniques...
December 29, 2016: NeuroImage
https://www.readbyqxmd.com/read/28030651/retinal-lateral-inhibition-provides-the-biological-basis-of-long-range-spatial-induction
#14
Jihyun Yeonan-Kim, Marcelo Bertalmío
Retinal lateral inhibition is one of the conventional efficient coding mechanisms in the visual system that is produced by interneurons that pool signals over a neighborhood of presynaptic feedforward cells and send inhibitory signals back to them. Thus, the receptive-field (RF) of a retinal ganglion cell has a center-surround receptive-field (RF) profile that is classically represented as a difference-of-Gaussian (DOG) adequate for efficient spatial contrast coding. The DOG RF profile has been attributed to produce the psychophysical phenomena of brightness induction, in which the perceived brightness of an object is affected by that of its vicinity, either shifting away from it (brightness contrast) or becoming more similar to it (brightness assimilation) depending on the size of the surfaces surrounding the object...
2016: PloS One
https://www.readbyqxmd.com/read/27939095/a-multiscale-bayesian-data-integration-approach-for-mapping-air-dose-rates-around-the-fukushima-daiichi-nuclear-power-plant
#15
Haruko M Wainwright, Akiyuki Seki, Jinsong Chen, Kimiaki Saito
This paper presents a multiscale data integration method to estimate the spatial distribution of air dose rates in the regional scale around the Fukushima Daiichi Nuclear Power Plant. We integrate various types of datasets, such as ground-based walk and car surveys, and airborne surveys, all of which have different scales, resolutions, spatial coverage, and accuracy. This method is based on geostatistics to represent spatial heterogeneous structures, and also on Bayesian hierarchical models to integrate multiscale, multi-type datasets in a consistent manner...
February 2017: Journal of Environmental Radioactivity
https://www.readbyqxmd.com/read/27905976/comparative-approaches-for-assessing-access-to-alcohol-outlets-exploring-the-utility-of-a-gravity-potential-approach
#16
Tony H Grubesic, Ran Wei, Alan T Murray, William Alex Pridemore
BACKGROUND: A growing body of research recommends controlling alcohol availability to reduce harm. Various common approaches, however, provide dramatically different pictures of the physical availability of alcohol. This limits our understanding of the distribution of alcohol access, the causes and consequences of this distribution, and how best to reduce harm. The aim of this study is to introduce both a gravity potential measure of access to alcohol outlets, comparing its strengths and weaknesses to other popular approaches, and an empirically-derived taxonomy of neighborhoods based on the type of alcohol access they exhibit...
August 2, 2016: Population Health Metrics
https://www.readbyqxmd.com/read/27894026/the-effect-of-road-network-patterns-on-pedestrian-safety-a-zone-based-bayesian-spatial-modeling-approach
#17
Qiang Guo, Pengpeng Xu, Xin Pei, S C Wong, Danya Yao
Pedestrian safety is increasingly recognized as a major public health concern. Extensive safety studies have been conducted to examine the influence of multiple variables on the occurrence of pedestrian-vehicle crashes. However, the explicit relationship between pedestrian safety and road network characteristics remains unknown. This study particularly focused on the role of different road network patterns on the occurrence of crashes involving pedestrians. A global integration index via space syntax was introduced to quantify the topological structures of road networks...
February 2017: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/27882869/aerotaxis-in-the-closest-relatives-of-animals
#18
Julius B Kirkegaard, Ambre Bouillant, Alan O Marron, Kyriacos C Leptos, Raymond E Goldstein
As the closest unicellular relatives of animals, choanoflagellates serve as useful model organisms for understanding the evolution of animal multicellularity. An important factor in animal evolution was the increasing ocean oxygen levels in the Precambrian, which are thought to have influenced the emergence of complex multicellular life. As a first step in addressing these conditions, we study here the response of the colony-forming choanoflagellate Salpingoeca rosetta to oxygen gradients. Using a microfluidic device that allows spatio-temporal variations in oxygen concentrations, we report the discovery that S...
November 24, 2016: ELife
https://www.readbyqxmd.com/read/27873066/diverse-foraging-opportunities-drive-the-functional-response-of-local-and-landscape-scale-bear-predation-on-pacific-salmon
#19
Thomas P Quinn, Curry J Cunningham, Aaron J Wirsing
The relationship between prey abundance and predation is often examined in single habitat units or populations, but predators may occupy landscapes with diverse habitats and foraging opportunities. The vulnerability of prey within populations may depend on habitat features that hinder predation, and increased density of conspecifics in both the immediate vicinity and the broader landscape. We evaluated the relative effects of physical habitat, local, and neighborhood prey density on predation by brown bears on sockeye salmon in a suite of 27 streams using hierarchical Bayesian functional response models...
November 21, 2016: Oecologia
https://www.readbyqxmd.com/read/27859257/does-spatial-access-to-primary-care-affect-emergency-department-utilization-for-nonemergent-conditions
#20
Jamie Fishman, Sara McLafferty, William Galanter
OBJECTIVE: To examine the contributions of individual- and neighborhood-level spatial access to care to the utilization of emergency departments (EDs) for preventable conditions through implementation of novel local spatial access measures. DATA SOURCES/STUDY SETTING: Emergency department admissions data are from four HealthLNK member hospitals in Chicago from 2007 to 2011. Primary care physician office and clinic locations were obtained from the American Medical Association and the City of Chicago...
November 17, 2016: Health Services Research
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