Spatial data relating to non-overlapping areal units are prevalent in fields such as
economics, environmental science, epidemiology and social science, and a large suite of …

Abstract Beginning with Colorado and Washington State in 2012, longstanding bans on the
sale, possession, and use of marijuana for recreational purposes have been overturned in …

Statistical models used to estimate the spatiotemporal pattern in disease risk from areal unit
data represent the risk surface for each time period with known covariates and a set of …

Objectives Examines the neighborhood-level relationship between gang graffiti and gang
violence in a large city in the western region of the US during a peak period of local gang …

Disease risk varies in space and time due to variation in many factors, including
environmental exposures such as air pollution, and the prevalence of lifestyle behaviors …

This is a vignette for the R package CARBayes version 6.1. 1, and is an updated version of a
paper in the Journal of Statistical Software in 2013 Volume 55 Issue 13 by the same author …

The statistical modeling of multivariate count data observed on a space–time lattice has
generally focused on using a hierarchical modeling approach where space–time correlation …

Background Human infection with the H7N9 virus has been reported recurrently since spring
2013. Given low pathogenicity of the virus in poultry, the outbreak cannot be noticed easily …

Background Cancer and dementia have often been studied in isolation. We aimed to
examine the spatiotemporal trend of inpatient admissions with both cancer and dementia …

Background More than half of the global population is predicted to be living in areas
susceptible to dengue transmission with the vast majority in Asia. Dengue fever is of public …