Showing papers in "Spatial and Spatio-temporal Epidemiology in 2013"

TL;DR: The Integrated Nested Laplace Approximation approach has been developed as a computationally efficient alternative to MCMC and the availability of an R package (R-INLA) allows researchers to easily apply this method.

TL;DR: In this article, a spatio-temporal model was used to identify constituency with high malaria incidence to guide malaria control, and the mean annual incidence based on the Bayesian model predictions was 13 cases per 1000 population with the highest incidence predicted for constituencies bordering Angola and Zambia.

TL;DR: This study used multicriteria decision analysis (MCDA) to identify areas in Asia suitable for the occurrence of highly pathogenic avian influenza virus H5N1 in domestic poultry, suggesting that, in data-scarce environments, MCDA provides a reasonable alternative to the data-driven approaches usually used to inform risk-based disease surveillance and control strategies.

TL;DR: Findings from the spatial regression models indicate that the built environment can have depressogenic effects, which can vary by spatial scale, gender and race/ethnicity (though sometimes in unexpected directions, i.e. associations opposite to the authors' expectations).

TL;DR: In this study, municipality was the geographical unit that performed the best according to the assessment and given the specific objectives and time period of the study.

TL;DR: The publisher regrets that the printed version of the above article contained a number of errors and the correct and final version follows.

TL;DR: It is suggested that migrant mothers are socially isolated and current home visiting services should be strengthened for migrant mothers living in communities where they may have poor social networks.

TL;DR: The number and location of counties with high breast cancer mortality risk by race and age across the U.S. using kriging to overcome unavailability of data was identified, and greater geographic disparities more likely present in African American women and younger women.

TL;DR: This work simulates epidemic spread through various contact networks and fit spatial-based models in a Bayesian framework using Markov chain Monte Carlo methods to choose a spatial model which best predicts the true probabilities of infection.

TL;DR: Findings from the study indicated variations in the spatial clustering of schizophrenia according to sex and age, with high differences between urban and rural-remote areas, as well as between the two main metropolitan areas of the province of Quebec.

TL;DR: The Bayesian methods identified clusters of depressive symptoms in north-east, north-west and southern areas of the study region, which will be used to inform future qualitative and epidemiological research, and to plan interagency early intervention services for women, children and their families.

TL;DR: The incidence of reported cases of human brucellosis was found to be higher in the highlands (sierra) and in municipalities near Peru and Colombia, and significant space-time clusters were found in the northern and southern highlands and parts of Ecuadorian Amazonia.

TL;DR: The first practical comparison of this selector with a little-known alternative technique is provided, and the possibility of exploiting an asymptotic MISE formulation in an effort to control excess variability is examined, and numerical results seem promising.

TL;DR: All the imputation methods showed social life and income were significant predictors of walking, however, the complete data approach was the best model indicating Age (1.04, 95% OR: 1.00, 1.08), Social Life (0.83, 95%).

TL;DR: This work fitting a multinomial logistic model on a joint response variable constructed from four health indicators and examining its relationship with SES estimated as a space-varying coefficient (SVC) variable shows superiority of the SVC model as well as confirms the fact that SES varies in space.

TL;DR: In this article, the authors used exploratory spatial data analysis and multivariate Bayesian spatial models to describe the spatial correlation of preterm birth with CVD among women in Georgia counties from 2002 to 2006.

TL;DR: Analysis of spatial patterns among prostate cancer cases across Connecticut suggests that accounting for a "detection effect" due to clinical patterns of another screenable condition may be as useful as adjusting spatial data for variability of socio-economic conditions.

TL;DR: The strongest evidence to support the potential role of ejecta in clusters of PP cases was the geographic shift in the spatio-temporal cluster after deprivation adjustment to match the post-earthquake clusters and increased relative risk in the fully-adjusted post-Earthquake cluster.

TL;DR: It is shown that random property allocation was the least prone to bias and error under volatile scenarios with small units and low prevalence, which makes it preferable to fixed or areal geoimputation for many epidemiological and surveillance applications.

TL;DR: This study proposes an approach to deal with the cases where both global clustering and local clusters exist simultaneously, and reduces the influence of global dependence on detecting local clusters and has lower false alarms.

TL;DR: A retrospective space–time scan statistic was employed to locate spatiotemporal clustering of infant bronchiolitis in a very large Tennessee (TN) Medicaid cohort and revealed distinctive and consistent patterns of deviation in epidemic timing.