Spatial and Spatio-temporal Epidemiology This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Exploring socio-demographic-and geographical-variations in prevalence of diabetes and hypertension in Bangladesh: Bayesian spatial analysis of national health survey data
This study focused on examining the association of socio-demographic factors with both hypertension and diabetes and exploring the regional variations in their prevalence using nationally representative survey data on adult population of age over 35 years. Bayesian spatial analysis was performed for both hypertension and diabetes data separately by fitting a model, that accounts for spatial variations, using integrated nested laplace approximation. The area-specific prevalence was then estimated as weighted average of the corresponding individual level predicted probabilities of being diseased derived from the fitted model...
Source: Spatial and Spatio-temporal Epidemiology - April 6, 2019 Category: Epidemiology Source Type: research

Identifying determinants of obesity in Athens, Greece through global and local statistical models
Publication date: Available online 6 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Antigoni Faka, Christos Chalkias, Ekavi N. Georgousopoulou, Anestis Tripitsidis, Christos Pitsavos, Demosthenes B. PanagiotakosAbstractIndividual socioeconomic status is linked to obesity risk, though, less is known about the influence of an area's socio-environmental conditions on obesity/overweight prevalence. This association was investigated using obesity/overweight data collected from 2,445 individuals in Athens greater area, who were randomly enrolled in ATTICA study, during 2001 to 2002, and factors related to e...
Source: Spatial and Spatio-temporal Epidemiology - April 6, 2019 Category: Epidemiology Source Type: research

Is Active Travel a Breath of Fresh Air? Examining Children's Exposure to Air Pollution During the School Commute.
Publication date: Available online 6 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Jason Gilliland, Matthew Maltby, Xiaohong Xu, Isaac Luginaah, Janet Loebach, Tayyab ShahABSTRACTThe aim of this study was to assess how children's personal exposure to fine particulate matter (PM2.5) during the school commute is influenced by mode of travel and neighbourhood environment in a mid-sized Canadian city. A total of 101 commutes to and from school were tracked using a GPS, and personal exposure to PM2.5 along commute routes was assessed by spatially-referencing the monitored exposure levels with time-synchro...
Source: Spatial and Spatio-temporal Epidemiology - April 6, 2019 Category: Epidemiology Source Type: research

Spatial smoothing models to deal with the complex sampling design and nonresponse in the Florida BRFSS survey
Publication date: Available online 5 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): K. Watjou, C. Faes, R.S. Kirby, M. Aregay, R. Carroll, Y. VandendijckAbstractPublic health and governmental organizations have acknowledged the importance of obtaining information of various characteristics for small areas, such as counties. Spatial smoothing models have been developed to gain reliable information on the geographical distribution of the outcome of interest. When the geographical analysis is based on survey data, two issues pose challenges: (1) the complex design of the survey and (2) the presence of mi...
Source: Spatial and Spatio-temporal Epidemiology - April 6, 2019 Category: Epidemiology Source Type: research

Geography and patient history in long-term lipid lowering medication adherence for primary prevention of cardiovascular disease
Publication date: Available online 2 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Feiyu Hu, Jim Warren, Daniel J ExeterAbstractIn order to determine the role of geographical and patient history factors in long-term medication adherence in cardiovascular disease (CVD), we analysed adherence to lipid-lowering therapy in a primary care cohort based on CVD decision support and linked health systems and census data from Auckland, New Zealand. Two-year adherence was examined for 10,410 patients aged between 30∼74 with neither diabetes nor a history of CVD. Using logistic regression we found significant ...
Source: Spatial and Spatio-temporal Epidemiology - April 2, 2019 Category: Epidemiology Source Type: research

A data-driven approach for estimating the change-points and impact of major events on disease risk
Publication date: Available online 10 February 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): R Carroll, AB Lawson, S ZhaoAbstractConsidering the impact of events on disease risk is important. Here, a Bayesian spatio-temporal accelerated failure time model furnished an ideal situation for modeling events that could impact survival experience via spatial and temporal frailty estimates. Through a hierarchical structure, this model allowed the data to detect the change-point(s) in addition to generating the event-related estimates. Both a real data case study and a simulation study were employed for testing th...
Source: Spatial and Spatio-temporal Epidemiology - February 10, 2019 Category: Epidemiology Source Type: research

Editorial Board
Publication date: February 2019Source: Spatial and Spatio-temporal Epidemiology, Volume 28Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - February 9, 2019 Category: Epidemiology Source Type: research

Small-Area Estimates of Stunting. Mexico 2010: Based on a Hierarchical Bayesian estimator
Publication date: Available online 8 February 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Héctor E. Nájera CatalánAbstractThe Sustainable Development Goal (SDG) 2.2 proposes ending stunting and wasting in children under five years of age by 2025. In Mexico, progress in the reduction of stunting has slowed in the 21st century. One of the challenges in tackling stunting is that it has become more concentrated in certain areas, but there are no data detailing its precise location. This paper produces the first small-area estimates of stunting for the Mexican municipalities by applying a hierarchical Baye...
Source: Spatial and Spatio-temporal Epidemiology - February 9, 2019 Category: Epidemiology Source Type: research

A Bayesian Piecewise Survival Cure Rate Model for Spatially Clustered Data
Publication date: Available online 7 February 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Sandra M. Hurtado Rúa, Dipak K. DeyAbstractThis paper proposes a Bayesian hierarchical cure rate survival model for spatially clustered time to event data. We consider a mixture cure rate model with covariates and a flexible (semi)parametric baseline survival distribution for uncured individuals. The spatial correlation structure is introduced in the form of frailties which follow a Multivariate Conditionally Autoregressive distribution on a pre-specified map. We obtain the usual posterior estimates, smoothed by re...
Source: Spatial and Spatio-temporal Epidemiology - February 8, 2019 Category: Epidemiology Source Type: research

Modelling spatio-temporal data of dengue fever using generalized additive mixed models
This study brings together a large dataset from different sources including Ministry of Health from Venezuela. It was also benefited from a remote satellite climatic data provided by the National Aeronautics and Space Administration (NASA). (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - December 21, 2018 Category: Epidemiology Source Type: research

Where did I get dengue? Detecting spatial clusters of infection risk with social network data
Publication date: Available online 1 December 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Roberto C.S.N.P. Souza, Renato M. Assunção, Derick M. Oliveira, Daniel B. Neill, Wagner MeiraAbstractTypical spatial disease surveillance systems associate a single address to each disease case reported, usually the residence address. Social network data offers a unique opportunity to obtain information on the spatial movements of individuals as well as their disease status as cases or controls. This provides information to identify visit locations with high risk of infection, even in regions where no one lives su...
Source: Spatial and Spatio-temporal Epidemiology - December 2, 2018 Category: Epidemiology Source Type: research

Mapping rates of inpatient hospitalizations related to mental disorders in the state of Missouri: a conditional autoregressive model with zip code-level data
Publication date: Available online 24 November 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Daphne Lew, Steven E. RigdonAbstractNearly one in five American adults suffers from mental illness in a given year. Mental health conditions are known to be spatially clustered, but no prior work has examined the clustering of mental health related hospitalizations. This analysis uses Bayesian hierarchical models to predict rates of inpatient hospitalizations attributed to mental disorders within zip codes in Missouri, USA. Eight separate models were run, and all models yielded similar estimates for the average rat...
Source: Spatial and Spatio-temporal Epidemiology - November 24, 2018 Category: Epidemiology Source Type: research

Geographic distribution of Staphylococcus spp. infections and antimicrobial resistance among dogs from Gauteng Province presented at a veterinary teaching hospital in South Africa
The objective of this study was to investigate spatial patterns of staphylococcal infections and resistance patterns of clinical isolates from dogs from Gauteng province in South Africa. Data from records of 1,497 dog clinical samples submitted to a veterinary teaching hospital between 2007 and 2012 were used in the study. Spatial empirical Bayesian smoothed risk maps were used to investigate spatial patterns of staphylococcal infections, antimicrobial resistance (AMR), and multidrug resistance (MDR). Moran's I and spatial scan statistics were used to investigate spatial clusters at municipal and town spatial scales. Signi...
Source: Spatial and Spatio-temporal Epidemiology - November 23, 2018 Category: Epidemiology Source Type: research

Fast-food outlet availability and obesity: considering variation by age and methodological diversity in 22,889 Yorkshire Health Study participants
This study investigated if the relationship between residential fast-food outlet availability and obesity varied due to methodological diversity or by age. Cross-sectional data (n=22,889) from the Yorkshire Health Study, England were used. Obesity was defined using self-reported height and weight (BMI≥30). Food outlets (“fast-food”, “large supermarkets”, and “convenience or other food retail outlets”) were mapped using Ordnance Survey Points of Interest (PoI) database. Logistic regression was used for all analyses. Methodological diversity included adjustment for other food outlets as covariates and continuou...
Source: Spatial and Spatio-temporal Epidemiology - November 16, 2018 Category: Epidemiology Source Type: research

Spatiotemporal analysis of prolonged and recurrent bovine tuberculosis breakdowns in Northern Irish cattle herds reveals a new infection hotspot
Publication date: Available online 14 November 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): G.M. Milne, J. Graham, A. Allen, A. Lahuerta-Marin, C. McCormick, E. Presho, R. Skuce, A.W. ByrneAbstractDespite a state-led eradication programme, bovine tuberculosis (bTB) remains endemic in Northern Ireland (NI). Of particular concern are “chronic” prolonged and recurrent bTB breakdowns, which represent significant financial and administrative burdens. However, little is known regarding the spatiotemporal distribution of chronic breakdowns in NI. We therefore analysed both the spatial and spatiotemporal dist...
Source: Spatial and Spatio-temporal Epidemiology - November 15, 2018 Category: Epidemiology Source Type: research