BACKGROUND: State central cancer registries are often asked to respond to questions
about the spatial distribution of cancer cases. Spatial analysis methods and technology are …

This paper deals with the development of statistical methodology for timely detection of
incident disease clusters in space and time. The increasing availability of data on both the …

Background Pedestrian and bicyclist injury is an important public health issue. The retail
environment, particularly the presence of alcohol outlets, may contribute the the risk of …

Current risk mapping models for pooled data focus on the estimated risk for each
geographical unit. A risk classification, that is, grouping of geographical units with similar …

Our objective is to develop a model to estimate the relative risk of disease in each area, Ai,
i= 1,…, n, of a region and to identify areas of unusually high or low risk. We use a product …

Disease mapping is the visual representation of the geographical distribution which give an
overview info about the incidence of disease within a population through spatial …

Purpose Social inequalities in cancer incidence and mortality have been reported in France,
but no data are available for the French overseas territories. Our objective was to explore the …

In this paper, we present a hierarchical spatial model for the analysis of geographical
variation in mortality between the Italian provinces in the year 2001, according to gender …

Previous studies have linked poor mental human health with environmental degradation, but
none have assessed additional diseases that may co-exist with these mental disorders. In …

The construction and smoothing of disease maps has been the object of many
methodological developments in recent years, but the analysis of edge effects has been a …